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Добірка наукової літератури з теми "Healthy database"

Автор: Grafiati

Опубліковано: 11 березня 2023

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Статті в журналах з теми "Healthy database"

Saul, Nadine, Steffen Möller, Francesca Cirulli, Alessandra Berry, Walter Luyten, and Georg Fuellen. "Health and longevity studies in C. elegans: the “healthy worm database” reveals strengths, weaknesses and gaps of test compound-based studies." Biogerontology 22, no. 2 (March 8, 2021): 215–36. http://dx.doi.org/10.1007/s10522-021-09913-2.

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AbstractSeveral biogerontology databases exist that focus on genetic or gene expression data linked to health as well as survival, subsequent to compound treatments or genetic manipulations in animal models. However, none of these has yet collected experimental results of compound-related health changes. Since quality of life is often regarded as more valuable than length of life, we aim to fill this gap with the “Healthy Worm Database” (http://healthy-worm-database.eu). Literature describing health-related compound studies in the aging model Caenorhabditis elegans was screened, and data for 440 compounds collected. The database considers 189 publications describing 89 different phenotypes measured in 2995 different conditions. Besides enabling a targeted search for promising compounds for further investigations, this database also offers insights into the research field of studies on healthy aging based on a frequently used model organism. Some weaknesses of C. elegans-based aging studies, like underrepresented phenotypes, especially concerning cognitive functions, as well as the convenience-based use of young worms as the starting point for compound treatment or phenotype measurement are discussed. In conclusion, the database provides an anchor for the search for compounds affecting health, with a link to public databases, and it further highlights some potential shortcomings in current aging research.

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Batouli, Seyed Amir Hossein, Minoo Sisakhti, Shirin Haghshenas, Hamed Dehghani, Perminder Sachdev, Hamed Ekhtiari, Nicole Kochan, et al. "Iranian Brain Imaging Database: A Neuropsychiatric Database of Healthy Brain." Basic and Clinical Neuroscience Journal 12, no. 1 (January 1, 2021): 115–32. http://dx.doi.org/10.32598/bcn.12.1.1774.2.

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Introduction: The Iranian Brain Imaging Database (IBID) was initiated in 2017, with 5 major goals: provide researchers easy access to a neuroimaging database, provide normative quantitative measures of the brain for clinical research purposes, study the aging profile of the brain, examine the association of brain structure and function, and join the ENIGMA consortium. Many prestigious databases with similar goals are available. However, they were not done on an Iranian population, and the battery of their tests (e.g. cognitive tests) is selected based on their specific questions and needs. Methods: The IBID will include 300 participants (50% female) in the age range of 20 to 70 years old, with an equal number of participants (#60) in each age decade. It comprises a battery of cognitive, lifestyle, medical, and mental health tests, in addition to several Magnetic Resonance Imaging (MRI) protocols. Each participant completes the assessments on two referral days. Results: The study currently has a cross-sectional design, but longitudinal assessments are considered for the future phases of the study. Here, details of the methodology and the initial results of assessing the first 152 participants of the study are provided. Conclusion: IBID is established to enable research into human brain function, to aid clinicians in disease diagnosis research, and also to unite the Iranian researchers with interests in the brain.

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Higuchi, Masatoshi, Akira Okada, and Seiichi Hisamoto. "Physical Characteristics database in healthy Japanese." Japanese journal of ergonomics 42 (2006): 570–71. http://dx.doi.org/10.5100/jje.42.supplement_570.

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Yasuyuki, Taki. "Brain development using MRI database in healthy children." International Journal of Psychophysiology 108 (October 2016): 4–5. http://dx.doi.org/10.1016/j.ijpsycho.2016.07.013.

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Cesari, Ugo, Giuseppe De Pietro, Elio Marciano, Ciro Niri, Giovanna Sannino, and Laura Verde. "A new database of healthy and pathological voices." Computers & Electrical Engineering 68 (May 2018): 310–21. http://dx.doi.org/10.1016/j.compeleceng.2018.04.008.

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Graziano, Elvira Anna, Fabio Fiano, Antonio Usai, and Nadia Cipullo. "Is healthy food convenient for health and pockets?" British Food Journal 122, no. 4 (March 26, 2020): 1099–111. http://dx.doi.org/10.1108/bfj-06-2019-0455.

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PurposeThe purpose of the study is to analyse the stock market response to a spin-off announcement concerning a food and beverage (F&B) business unit.Design/methodology/approachThe study uses a sample of approximately 107 spin-offs, 84 of which are operating in the F&B sector surveyed by the Zephyr–Bureau Van Dijk database. The event study approach is applied to the identified sample. The results demonstrate that the effect of an event on the stock price of a firm allows identification of the abnormal return as the difference between the current and expected returns.FindingsThe study finds that investors adjust positively to the closing of the spin-off deal. The peak of performance is reached on the day of the announcement.Research limitations/implicationsEmpirical evidence could be distorted by the mono-industry database, analysed in a “favourable time span.” The role of information transfer on spin-offs, in terms of diffusion and reduction of information asymmetries, could be developed.Originality/valueThe study represents a pioneering investigation of a category of mono-industry spin-offs. Previous doctrinal contributions underline the fact that abnormal returns corresponding to announcement effects are amplified in the case of information asymmetries but underestimate the effects deriving from the strategic business unit's nature as a spin-off.

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Tan, Xiu Ling, Sae Cheong Yap, Xiang Li, and Leonard W. Yip. "Comparison of Ethnic-specific Databases in Heidelberg Retina Tomography-3 to Discriminate Between Early Glaucoma and Normal Chinese Eyes." Open Ophthalmology Journal 11, no. 1 (February 28, 2017): 40–46. http://dx.doi.org/10.2174/1874364101711010040.

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Purpose: To compare the diagnostic accuracy of the 3 race-specific normative databases in Heidelberg Retina Tomography (HRT)-3, in differentiating between early glaucomatous and healthy normal Chinese eyes. Method: 52 healthy volunteers and 25 glaucoma patients were recruited for this prospective cross-sectional study. All underwent standardized interviews, ophthalmic examination, perimetry and HRT optic disc imaging. Area under the curve (AUC) receiver operating characteristics, sensitivity and specificity were derived to assess the discriminating abilities of the 3 normative databases, for both Moorfields Regression Analysis (MRA) and Glaucoma Probability Score (GPS). Results: A significantly higher percentage (65%) of patients were classified as “within normal limits” using the MRA-Indian database, as compared to the MRA-Caucasian and MRA-African-American databases. However, for GPS, this was observed using the African-American database. For MRA, the highest sensitivity was obtained with both Caucasian and African-American databases (68%), while the highest specificity was from the Indian database (94%). The AUC for discrimination between glaucomatous and normal eyes by MRA-Caucasian, MRA-African-American and MRA-Indian databases were 0.77 (95% CI, 0.67-0.88), 0.79 (0.69-0.89) and 0.73 (0.63-0.84) respectively. For GPS, the highest sensitivity was obtained using either Caucasian or Indian databases (68%). The highest specificity was seen with the African-American database (98%). The AUC for GPS-Caucasian, GPS-African-American and GPS-Indian databases were 0.76 (95% CI, 0.66-0.87), 0.77 (0.67-0.87) and 0.76 (0.66-0.87) respectively. Conclusion: Comparison of the 3 ethnic databases did not reveal significant differences to differentiate early glaucomatous from normal Chinese eyes.

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Zeng, Xian, Xue Yang, Jiajun Fan, Ying Tan, Lingyi Ju, Wanxiang Shen, Yali Wang, et al. "MASI: microbiota—active substance interactions database." Nucleic Acids Research 49, no. D1 (October 30, 2020): D776—D782. http://dx.doi.org/10.1093/nar/gkaa924.

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Abstract Xenobiotic and host active substances interact with gut microbiota to influence human health and therapeutics. Dietary, pharmaceutical, herbal and environmental substances are modified by microbiota with altered bioavailabilities, bioactivities and toxic effects. Xenobiotics also affect microbiota with health implications. Knowledge of these microbiota and active substance interactions is important for understanding microbiota-regulated functions and therapeutics. Established microbiota databases provide useful information about the microbiota-disease associations, diet and drug interventions, and microbiota modulation of drugs. However, there is insufficient information on the active substances modified by microbiota and the abundance of gut bacteria in humans. Only ∼7% drugs are covered by the established databases. To complement these databases, we developed MASI, Microbiota—Active Substance Interactions database, for providing the information about the microbiota alteration of various substances, substance alteration of microbiota, and the abundance of gut bacteria in humans. These include 1,051 pharmaceutical, 103 dietary, 119 herbal, 46 probiotic, 142 environmental substances interacting with 806 microbiota species linked to 56 diseases and 784 microbiota–disease associations. MASI covers 11 215 bacteria-pharmaceutical, 914 bacteria-herbal, 309 bacteria-dietary, 753 bacteria-environmental substance interactions and the abundance profiles of 259 bacteria species in 3465 patients and 5334 healthy individuals. MASI is freely accessible at http://www.aiddlab.com/MASI.

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Bloom, Nicholas, Renata Lemos, Raffaella Sadun, and John Van Reenen. "Healthy Business? Managerial Education and Management in Health Care." Review of Economics and Statistics 102, no. 3 (June 2020): 506–17. http://dx.doi.org/10.1162/rest_a_00847.

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We investigate the link between hospital performance and managerial education by collecting a large database of management practices and skills in hospitals across nine countries. We find that hospitals closer to universities offering both medical education and business education have lower mortality rates from acute myocardial infarction (heart attacks), better management practices, and more MBA-trained managers. This is true compared to the distance to universities that offer only business or medical education (or neither). We argue that supplying bundled medical and business education may be a channel through which universities improve management practices in hospitals and raise clinical performance.

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Esabella, Shinta, Fahri Hamdani, and Fahmi Yuliono. "RANCANG BANGUN APLIKASI MEDIA PROMOSI HIDUP SEHAT BERBASIS ANDROID (STUDI KASUS DI DINAS KESEHATAN KABUPATEN SUMBAWA)." Jurnal Informatika, Teknologi dan Sains 1, no. 2 (November 29, 2019): 143–52. http://dx.doi.org/10.51401/jinteks.v1i2.420.

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This research aims to design and build an Android-based healthy life promotion Media application in order to be utilized by the Health Department (DIKES). The research method used is a qualitative method of descriptive analytic and the method of data collection used in this research is the method of interviews, observations, and literature studies as well as using the method of spiral as Software development methods. The Android based healthy Live promotion Media app is built using the Java programming language and MySQL database as the Database Management System (DBMS). In the application of Healthy life promotion Media based on Android will be around especially in Sumbawa district can facilitate the viewing of health information wherever and whenever in the form of digital Media.

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Дисертації з теми "Healthy database"

Saab, Emile. "A database for an intensive care unit." Thesis, McGill University, 1995. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=23376.

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The rapid growth of medical sciences and technologies created the need to manage data generated by sophisticated medical equipment (e.g. lab results, vital signs, etc.). This class of equipment, especially in the modern Intensive Care Unit (ICU), emits large quantities of latient data which medical staff usually records on log sheets.
This thesis presents a database design that allows abstract definition of data types, and offers a unified view of data during the development phase, distinct levels of data management and a higher degree of system flexibility. This database model is an implementation of a database for a Patient Data Management System (PDMS) developed for use in the ICU of the Montreal Children's Hospital. The PDMS has a variety of application modules that handle and process various types of data according to functionality requirements.

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Nadig, Ragava. "Development of environmental health and safety database for small communities." Morgantown, W. Va. : [West Virginia University Libraries], 2001. http://etd.wvu.edu/templates/showETD.cfm?recnum=2113.

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Thesis (M.S.)--West Virginia University, 2001.
Title from document title page. Document formatted into pages; contains viii, 95 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 69-70).

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Blomqvist, Paul. "On the use of administrative databases in health care analyses /." Stockholm, 1998. http://diss.kib.ki.se/1998/91-628-2855-X.

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Bettencourt-Silva, Joao. "From data to knowledge in secondary health care databases." Thesis, University of East Anglia, 2014. https://ueaeprints.uea.ac.uk/53416/.

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The advent of big data in health care is a topic receiving increasing attention worldwide. In the UK, over the last decade, the National Health Service (NHS) programme for Information Technology has boosted big data by introducing electronic infrastructures in hospitals and GP practices across the country. This ever growing amount of data promises to expand our understanding of the services, processes and research. Potential benefits include reducing costs, optimisation of services, knowledge discovery, and patient-centred predictive modelling. This thesis will explore the above by studying over ten years worth of electronic data and systems in a hospital treating over 750 thousand patients a year. The hospital's information systems store routinely collected data, used primarily by health practitioners to support and improve patient care. This raw data is recorded on several different systems but rarely linked or analysed. This thesis explores the secondary uses of such data by undertaking two case studies, one on prostate cancer and another on stroke. The journey from data to knowledge is made in each of the studies by traversing critical steps: data retrieval, linkage, integration, preparation, mining and analysis. Throughout, novel methods and computational techniques are introduced and the value of routinely collected data is assessed. In particular, this thesis discusses in detail the methodological aspects of developing clinical data warehouses from routine heterogeneous data and it introduces methods to model, visualise and analyse the journeys that patients take through care. This work has provided lessons in hospital IT provision, integration, visualisation and analytics of complex electronic patient records and databases and has enabled the use of raw routine data for management decision making and clinical research in both case studies.

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Egenvall, Agneta. "Canine health, disease and death : data from a Swedish animal insurance database /." Uppsala : Swedish Univ. of Agricultural Sciences (Sveriges lantbruksuniv.), 1999. http://epsilon.slu.se/avh/1999/91-576-5433-6.pdf.

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Fumai, Nicola. "A database for an intensive care unit patient data management system." Thesis, McGill University, 1992. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=22500.

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Computerization has had a large impact on hospital intensive care units, allowing continuous monitoring and display of physiological patient data. Treatment of the critically ill patient, however, now requires assimilating large amounts of patient data.
Computers can help by processing the data and displaying the information in easy to understand formats. Also, knowledge-based systems can provide advice in diagnosis and treatment of patients. If these systems are to be effective, they must be integrated into the total hospital information system and the separate computer data must be jointly integrated into a new database which will become the primary medical record.
This thesis presents the design and implementation of a computerized database for an intensive care unit patient data management system being developed for the Montreal Children's Hospital. The database integrates data from the various PDMS components into one logical information store. The patient data currently managed includes physiological parameter data, patient administrative data and fluid balance data.
A simulator design is also described, which allows for thorough validation and verification of the Patient Data Management System. This simulator can easily be extended for use as a teaching and training tool for PDMS users.
The database and simulator were developed in C and implemented under the OS/2 operating system environment. The database is based on the OS/2 Extended Edition relational Database Manager.

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Oriyo, Ferry. "Evaluation of User Satisfaction with a Clinical Genetics Database." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1275414472.

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Ng, Ryan. "Assessment of systemic lupus erythematosus diagnoses within Quebec's health administrative databases." Thesis, McGill University, 2012. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=107884.

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Background: Systemic lupus erythematosus (SLE) is a chronic, relatively uncommon autoimmune disease that has a relapsing-remitting course, with clinical manifestations in various organ systems (cutaneous, renal, and other). To control disease, immunosuppressive drugs are often required. Health administrative databases are useful for studying SLE because of their wide population coverage, and could potentially be used to study SLE incidence, prevalence, clinical manifestations, and medication use. However, because the diagnoses in these administrative databases are not necessarily clinically confirmed, SLE case ascertainment is a methodological challenge. First, some of the methodological issues were examined in this thesis. Second, clinical manifestations and the association between early antimalarial drug use and future renal manifestations were examined in a cohort of SLE patients. Methods: The initial SLE case definition was a previously-used algorithm that identified subjects as having SLE if they met one of the following criteria: one SLE hospital discharge code, one rheumatologist SLE claim and/or two SLE non-rheumatologist claims at least eight weeks apart but within two years. Alternative algorithms were formed by modifying one or more of the initial algorithm's parameters. Incidence and prevalence estimates were determined using each alternative algorithm and compared to the initial estimates. The effect of using different data period lengths for detecting patients was also examined. Kaplan-Meier (K-M) analyses were performed to assess documentation of clinical SLE manifestations and use of selected immunosuppressant medications, within an incident SLE cohort identified by the initial algorithm (described above). The observation interval began four years prior to SLE diagnosis and continued up to eight years after SLE diagnosis. Cox proportional hazards regression analyses were used to examine the association between early antimalarial drug use and renal manifestations. Results: With the initial algorithm, the 1998 yearly incidence was 6.0 cases per 100,000 (95% confidence interval (CI), 5.5–6.6). When parameters from the initial algorithm were changed, the 1998 incidence varied to between 4.4 and 7.4/100,000. The prevalence also changed from 65.5/100,000 (95% CI: 63.7–67.4) with the initial algorithm, to between 47.8–79.1/100,000 with the alternate algorithms. When the length of the data period changed from fifteen years to five years, the 2001 yearly incidence was overestimated by 38.3% (5.7/100,000 initially and 7.9/100,000 with only five years of data) and the prevalence was underestimated by 29.9% (the new estimate being 46.0/100,000, 95% CI: 44.4–47.5).Over-all, 66.2% (95%CI: 63.4–68.9%) of incident patients (within the SLE cohort assembled using the initial algorithm) had evidence of at least one SLE manifestation within the period under examination. The most common manifestation was cutaneous involvement, present in 30.0%. Within the sub-cohort of incident SLE patients covered by RAMQ drug insurance, 87.2% (95% CI: 84.2–90.3%) had received at least one of the medications under study, by the end of the study interval. No association was found between early antimalarial drug use and subsequent renal manifestations.Conclusion: Varying the case definition and data period can change incidence and prevalence estimates considerably, so all features, including the time period in which the data spans, should be selected carefully and explicitly stated. The majority of incident SLE patients had evidence of SLE manifestations or used medications which would provide possible confirmation of SLE case status. This additional information can be used in future health services administrative database research to understand SLE, and help compensate for the databases' lack of clinical confirming data.
Contexte : Le lupus érythémateux disséminé (LED) est une maladie auto-immune chronique relativement peu commune. L'évolution de cette maladie est décrite en phases de poussées et de rémissions et ses manifestations cliniques touchent plusieurs organes. L'utilisation de médicaments immunosuppresseurs est souvent nécessaire pour contrôler le LED. Les banques de données administratives du domaine de la santé s'avèrent utiles pour étudier le LED, car elles pourraient être utilisées pour étudier l'incidence, la prévalence et les manifestations cliniques. Toutefois, comme les diagnostics présents dans ces bases de données administratives n'ont pas nécessairement de confirmation clinique, la détermination des cas de LED représente un défi d'ordre méthodologique et certains de ces problèmes méthodologiques font l'objet de la présente thèse.Méthodologie : L'algorithme initial de définition de cas de LED a déjà été utilisé pour identifier des sujets atteints de LED s'ils répondaient aux critères suivants : un code de congé d'hôpital de LED, une réclamation d'un rhumatologue pour le LED et/ou deux réclamations par un médecin autre qu'un rhumatologue pour le LED séparées d'au moins huit semaines, mais dans un intervalle de deux ans. D'autres algorithmes ont été créés en modifiant un paramètre ou plus de l'algorithme initial. Des estimations d'incidence et de prévalence ont été obtenues grâce à chaque algorithme créé et ces valeurs ont été comparées aux estimations initiales. L'effet de l'utilisation de périodes de données de différentes longueurs sur la détection des patients a également été examiné. Des analyses Kaplan-Meier (K-M) ont été faites pour évaluer la documentation des manifestations cliniques du LED et l'utilisation de médicaments immunosuppresseurs spécifiques au sein d'une cohorte incidente de patients atteints de LED identifiés par l'algorithme initial (décrit plus haut). L'intervalle d'observation a débuté quatre ans avant le diagnostic de LED et s'est poursuivi jusqu'à huit ans après le diagnostic. Des analyses utilisant le modèle de régression à risques proportionnels de Cox ont servi à examiner l'association entre l'utilisation précoce d'antipaludiques et les manifestations rénales. Résultats : Avec l'algorithme initial, l'incidence annuelle de LED en 1998 était de 6,0 cas pour 100 000 habitants (95 % d'intervalle de confiance (CI), 5,5-6,6). En changeant les paramètres de l'algorithme initial, l'incidence en 1998 a varié entre 4,4 et 7,4 pour 100 000. La prévalence a passé de 65,5 pour 100 000 (95 % CI : 63,7–67,4) avec l'algorithme initial à entre 47,8–79,1 pour 100 000 avec les autres algorithmes. En modifiant la longueur des périodes de données de quinze à cinq ans, l'incidence annuelle en 2001 était surestimée par 38,3 %.Dans l'ensemble, 66,2 % (95 % CI : 63,4–68,9 %) des patients incidents au sein de la cohorte de patients atteints de LED assemblée grâce à l'algorithme initial montraient au moins une manifestation de LED au cours de la période évaluée. Au sein d'une sous-cohorte de patients incidents atteints de LED couverts par la RAMQ, 87,2 % (95 % CI : 84,2–90,3 %) ont reçu au moins un médicament à l'étude avant la fin de l'intervalle étudié. Aucune association n'a été trouvée entre l'utilisation précoce d'antipaludiques et les manifestations rénales subséquentes. Conclusion : La variation de la définition de cas et de la période de données peut modifier considérablement les estimations d'incidence et de prévalence. Ainsi, tous les paramètres, y compris la période de temps pour laquelle les données sont recueillies, devraient être choisis avec précaution. La majorité des patients incidents atteints de LED montrent des manifestations de LED qui pourraient offrir une confirmation potentielle des cas de LED. Ces informations supplémentaires pourront être utilisées pour des études futures sur les bases de données des services de soins de santé afin de mieux comprendre le LED.

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Herbert, Margaret Elizabeth. "Modelling future mortality in Ontario: Extension of the PREVENT model and development of an Ontario database." Thesis, University of Ottawa (Canada), 1994. http://hdl.handle.net/10393/6769.

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PREVENT is a user-friendly, interactive computer program developed in the Netherlands which integrates the effects of demographic structure, risk factor prevalence, relative risks and mortality rates to estimate the impact of changes in risk factor prevalence on mortality. A new database for PREVENT has been developed with the following Ontario data: population structure, all-cause and disease-specific mortality, life expectancy, and birth projections. The current prevalence of smoking, obesity, alcohol and seat belt use is estimated from the Ontario Health Survey; the prevalence of hypertension and hypercholesterolemia from provincial heart health surveys. Future changes in risk factor prevalences for the simulation period are extrapolated from past trends. Sensitivity testing shows that the mortality varies directly with both the prevalence and relative risks. The shape of the mortality prevention curve is affected by two factors. In the first twenty years the latency and lag times and the spread in implementation of the intervention dictate the pattern. In later years mortality is affected by the changing demographic structure, age-specific mortality rates and future trends in risk factor prevalence that are in the model. Historical testing of the risk factor smoking, using a 1966 Ontario database, shows good agreement between PREVENT estimates and observed total mortality. The agreement between predicted and observed mortality is not as close for lung cancer, IHD and COLD.

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Corluka, Adrijana. "Creation of a database linking contextual small-area characteristics to successful aging: Contributions from GIS science." Thesis, University of Ottawa (Canada), 2004. http://hdl.handle.net/10393/26617.

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While medical geography has long contributed to epidemiological studies, applications of GIS in health research are now only beginning to be realized. Individual-level variables such as genetics or lifestyle do not fully explain the phenomena of health and disease---social and physical environments play a role in determining the health of populations as well. Using individual-level data from a cohort of close to 5000 elderly Canadians, GIS was used to create a spatial database of neighborhood socio-demographic and economic characteristics, based on proximity and containment analysis, to aid in understanding how environmental context influences successful aging in Canada. The work done for this thesis resulted in the creation of the first national combined spatial and aspatial database composed of demographic, socio-economic and GIS-derived local contextual spatial data linked to individual successful aging outcome data via postal code.

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Книги з теми "Healthy database"

English National Board for Nursing, Midwifery and Health Visiting., ed. Health care database: Management. Sheffield: English National Board for Nursing, Midwifery and Health Visiting, 1991.

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Chartered Institute of Public Finance and Accountancy. and Healthcare Financial Management Association, eds. Health database 1990: Health service trends. London: Chartered Institute of Public Finance and Accountancy, 1990.

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English National Board for Nursing, Midwifery and Health Visiting., ed. Health care databases: Education. Sheffield: English National Board for Nursing, Midwifery and Health Visiting, 1992.

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Baragoin, Corinne. Mining your own business in health care using DB2 intelligent miner for data. San Jose, Calif: International Technical Support Organization, 2001.

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Association, Healthcare Financial Management. Health service trends: The Cipfa database. London: CIPFA, 1987.

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English National Board for Nursing, Midwifery and Health Visiting., ed. Health care database: HIV and AIDS. Sheffield: English National Board for Nursing, Midwifery and Health Visiting, 1991.

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Chartered Institute of Public Finance and Accountancy. and Healthcare Financial Management Association, eds. Health service trends: The Cipfa database. 2nd ed. London: Chartered Institute ofPublic Finance and Accountancy, 1989.

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Chartered Institute of Public Finance and Accountancy. and Healthcare Financial Management Association, eds. Health service trends: The Cipfa database. London: CIPFA, 1987.

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National Institutes of Health (U.S.) and United States. Health Resources and Services Administration., eds. CHID online: The combined health information database. [Bethesda, MD]: National Institutes of Health ; [Rockville, MD], 1997.

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Частини книг з теми "Healthy database"

Havlík, Jan, Patrik Horák, Kamila Řasová, Jitka Řezníčková, and Josef Zeman. "The Evaluation of the Tremor: Signal Database of Healthy Control Subjects." In IFMBE Proceedings, 547–50. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-9038-7_100.

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Mortamet, Bénédicte, Donglin Zeng, Guido Gerig, Marcel Prastawa, and Elizabeth Bullitt. "Effects of Healthy Aging Measured By Intracranial Compartment Volumes Using a Designed MR Brain Database." In Lecture Notes in Computer Science, 383–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11566465_48.

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Armstrong, C. J. "How Healthy are Your Health Databases?" In Health Information Management: What Strategies?, 66–68. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-015-8786-0_18.

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Forchuk, Cheryl, Abraham Rudnick, Deborah Corring, Daniel Lizotte, Jeffrey S. Hoch, Richard Booth, Barbara Frampton, Rupinder Mann, and Jonathan Serrato. "Smart Technology in the Home for People Living in the Community with Mental Illness and Physical Comorbidities." In Lecture Notes in Computer Science, 86–99. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09593-1_7.

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AbstractThis study evaluated a smart technology intervention in the home as a support for individuals with severe mental illness. This study recruited 13 participants in a variety of community-based homes. Participants were offered a smartphone, a touchscreen monitor and health devices such as smartwatches, weigh-scales, and automated medication dispensers. Data was exported to the Lawson Integrated DataBase for care providers to monitor/track. Interviews with participants and focus groups with participants and care providers were conducted at baseline, 6-months and 12-months, and survey instruments were used to collect quantitative data about different dimensions of health and social determinants. Descriptive statistics from these outcome measures are presented as the sample size was too small for meaningful statistical inference. Qualitative analyses revealed a high degree of acceptability of the devices and motivation for healthy living, communication and mental health. Health Care Providers also noted improvements to client health. This study proves the feasibility of deploying smart technologies to support individuals with severe mental illness. Future scale-up would further our understanding of their impacts.

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Hersh, William R. "Databases." In Information Retrieval: A Health Care Perspective, 61–74. New York, NY: Springer New York, 1996. http://dx.doi.org/10.1007/978-1-4757-2529-2_4.

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Collen, Morris F. "Specialized Medical Databases." In Health Informatics, 151–82. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-962-8_5.

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Collen, Morris F. "Medical Knowledge Databases." In Health Informatics, 217–32. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-962-8_8.

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Collen, Morris F. "Medical Bibliographic Databases." In Health Informatics, 233–57. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-962-8_9.

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Burnard, Philip. "Keeping databases." In Writing for Health Professionals, 55–70. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4899-2851-1_5.

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Burnard, Philip. "Keeping databases." In Writing for Health Professionals, 71–83. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4899-6822-7_5.

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Тези доповідей конференцій з теми "Healthy database"

de Vasconcelos Filho, Sérgio, and Cristine Martins Gomes de Gusmão. "PROPOSED DATABASE SYSTEM MODEL TO SUPPORT HEALTHY AGING." In International Conferences on: Internet Technologies & Society and Sustainability, Technology and Education 2020. IADIS Press, 2020. http://dx.doi.org/10.33965/its_ste2020_202001c007.

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Predescu, Corina, Katharina Kiss, and Aura Bota. "BUILDING A GLOBAL DATABASE FOR THE DISABLED PEOPLE BY MEANS OF MOBILE DEVICES." In eLSE 2014. Editura Universitatii Nationale de Aparare "Carol I", 2014. http://dx.doi.org/10.12753/2066-026x-14-257.

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This study is part of the Special Olympics Healthy Communities project, entitled ,,Close the referral loop", carried out in partnership with Vodafone Romania Foundation, financed through Mobile4Good program. This project seeks to build on a unique global database and move onwards from data gathering to using the current data to empower athletes and their families to transform their health outcomes through self-advocacy and informed management of their own health through Athletes Personal Health Records with two-way interactivity with athletes' mobile devices. If an athlete has a referral recommended at a Healthy Athletes screening event, details of the referral are automatically recorded in the athlete's health record. In this context, the athlete's mobile phone is used to alert athletes that a medical referral has been recommended. To be inclusive for all Special Olympics athletes the mobile health solution needs to be available on the common mobile devices on the standard operating systems of mobile phone and tablets including Android, Symbian, Windows Mobile, iPhone and iPad. The pilot study, followed by two other screening events (between 2012-2013) which took place at UNEFS gathered a total of 458 subjects whose data were digitally entered in the system which further generated SMS follow-up messages. This application renders possible digital data entry on cell phone and tablets, two way interactive messaging to athletes' cell phones and tablets to close the referral loop after Healthy Athletes events, two way interactive messaging to athletes' cell phones and tablets for follow up of services and devices given at Healthy Athletes events and athlete data entry into their personal health record.

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Teruel, Gilberto F., Tatiany M. Heiderich, Ruth Guinsburg, and Carlos E. Thomaz. "Analysis And Recognition Of Pain In 2d Face Images Of Full Term And Healthy Newborns." In XV Encontro Nacional de Inteligência Artificial e Computacional. Sociedade Brasileira de Computação - SBC, 2018. http://dx.doi.org/10.5753/eniac.2018.4419.

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This paper proposes a sequence of computational procedures for detecting, interpreting and classifying patterns in frontal two-dimensional images of faces for automatic recognition of pain in newborns. Using data transformation and extraction of statistical characteristics from a real-life, healthy-term newborn image database, it was possible to interpret and model the subjectivity of trained health professionals, quantifying human knowledge in the task of recognizing pain enabling automatic identification. These results were compared with NFCS based classifications by the same professionals of the same images.

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Chua, Jedd Emille, John Amiel Zaldua, Thomas Joseph Sevilla, Mark John Tapel, Michael Ray Orlino, Rasing Daniel Camilo, and Lee-Ramos Catherine Manuela. "An Android phone Application for a health monitoring system with integrated medical devices and localized health information and database for healthy lifestyle changes." In 2014 International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM). IEEE, 2014. http://dx.doi.org/10.1109/hnicem.2014.7016204.

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Bassett, Kyle, Rupp Carriveau, and David S. K. Ting. "Passive Structural Health Monitoring Applied to a Wind Turbine Model." In ASME 2009 3rd International Conference on Energy Sustainability collocated with the Heat Transfer and InterPACK09 Conferences. ASMEDC, 2009. http://dx.doi.org/10.1115/es2009-90178.

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Structural health monitoring is a technique devised to monitor the structural conditions of a system in an attempt to take corrective measures before the system fails. A passive structural health monitoring technique is presented, which serves to leverage historic time series data in order to both detect and localize damage on a wind turbine blade aerodynamic model. First, vibration signals from the healthy system are recorded for various input conditions. The data is normalized and auto-regressive (AR) coefficients are determined in order to uniquely identify the normal behavior of the system for each input condition. This data is then stored in a healthy state database. When the structural condition of the system is unknown the vibration signals are acquired, normalized and identified by their AR coefficients. Damage is detected through the residual error which is calculated as the difference between the AR coefficients of the unknown and healthy structural conditions. This technique is tailored for wind turbines and the application of this approach is demonstrated in a wind tunnel using a small turbine blade held with four springs to create a dual degree-of-freedom system. The vibration signals from this system are characterized by free-stream speed. Damage is replicated through mass addition on each of the blades ends and is located by an increase in residual error from the accelerometer mounted closest to the damaged area. The outlined procedure and demonstration illustrate a single stage structural health monitoring technique that, when applied on a large scale, can avoid catastrophic turbine disasters and work to effectively reduce the maintenance costs and downtime of wind farm operations.

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Siqueira, Fernando, Vanessa Siqueira, Lucas Falcão, Arthur Bezerra, and Carlos Silva. "THE INFLUENCE BETWEEN ALZHEIMER’S DISEASE AND HEALTHY EATING: A SYSTEMATIC REVIEW." In XIII Meeting of Researchers on Alzheimer's Disease and Related Disorders. Zeppelini Editorial e Comunicação, 2021. http://dx.doi.org/10.5327/1980-5764.rpda062.

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Background: Alzheimer’s Disease (AD) is a neurodegenerative disease responsible for neuronal losses that affect mainly the cortex and hippocampus, which begin to shrink in size, damaging cognitive functions. This process affects cholinergic neurons, influencing acetylcholine (ACH) levels, a memoryrelated neurotransmitter. Glucose metabolism and low thiamine levels appear to be affected by AD. Consequently, diabetes becomes a disease associated with AD and the thiamine deficiency levels depress the use of glucose by the brain. Thus, nutrition may have a role in preventing dementia through the treatment and prevention. Objective: To summarize the knowledge about this topic by reviewing articles and analyzing if healthy eating influences the development of AD. Methods: Selection of articles from the Scielo database. Results: Inflammation contributes to the pathogenesis of AD. The effect observed in patients with adherence to the Mediterranean diet translates into a decrease in inflammatory markers at the plasma level. One of the symptoms, memory loss, can be prevented by a micronutrient named thiamine, a precursor of ACH, it is found in the leguminous. The Mediterranean diet has been shown to attribute a neuroprotective activity which goes with its anti-inflammatory effect. Conclusion: AD starts by its multifactorial etiology that consists of genotype and phenotype. Nutrition would be efficient as a preventive and a therapeutic alternative among other.

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Choi, Jaewon, and Michael D. Bryant. "Diagnostics of Mechanical Faults of Loudspeakers Using Principal Component Analysis and Fisher’s Discriminant Analysis." In ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control. ASMEDC, 2011. http://dx.doi.org/10.1115/dscc2011-6198.

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This study illustrates a novel model based FDI method for the common mechanical faults arising during the manufacture of loudspeakers. To overcome the drawbacks of the conventional signal based approaches, the Bayesian classification of impulse responses based on a model based fault symptom database is proposed. The loudspeaker model is estimated via IRES and ARMA techniques. The fault symptom database is constructed with a novel nonlinear loudspeaker model. The performances of Principal Component Analysis (PCA) and Fisher’s Discriminant Analysis (FDA) are compared. The results show the effectiveness of the proposed method. It is also shown that the FDA based classifier performs better than PCA in terms of the accuracy and consistency of the healthy baseline estimation. However, the fault isolation is difficult due to the similarities of fault signatures.

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Stanescu, Monica, Elena daniela Salih khidir, and Souzan Al sayegh. "USING MOBILE TECHNOLOGY TO EVALUATE THE ACTIVE LIFESTYLE OF ADULTS FROM CAMPUSES IN QATAR." In eLSE 2021. ADL Romania, 2021. http://dx.doi.org/10.12753/2066-026x-21-194.

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In Arab countries, physical inactivity among adults varies from 33% to 86%. Qatar shows an inactivity prevalence of 41.6%. This study describes the evaluation of 2 phases community-based intervention in university campuses in Qatar, Step into Health (SIH), designed to engage adults from campuses in Qatar into healthy lifestyle through walking. This evaluation aims to assess the effectiveness of mobile technology usage to increase participation in registered adult within the walking program. This study involved 397 eligible students and staff (aged 18-64 years), from 15 university campuses. The mobile technology-based interventions were implemented in 2 phases, (January - May 2018) - 288 participants, and (January - May 2019) - 109 participants with 104 common members that joined both phases of the program. Step counts were assessed by program coordinators using pedometers and mobile applications linked to a web-database. This study provided evidence that a systematic approach of the activism successfully engages adults from campuses in Qatar into a healthy lifestyle This intervention engaged inactive, low active, and active students into the walking program by the use of mobile technology. Results showed a significant increase in steps uploads during phase one of walking intervention when participants received reminders, awareness sessions, and technical support related to mobile technology use. Although these 104 members were committed to a long period of time, (10 months) to perform walking at the low physical activity level, they did not register a significant improvement of the physical efforts over time. The step uploads result for both intervention phases demonstrated a higher level of motivation amongst participants.

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Oliveira, Flávio R. S., Felipe C. Farias, and Bernardo João de Barros Caldas. "Evaluation of deep learning architectures applied to identification of diseases in grape leaves." In XV Encontro Nacional de Inteligência Artificial e Computacional. Sociedade Brasileira de Computação - SBC, 2018. http://dx.doi.org/10.5753/eniac.2018.4447.

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Vale do São Francisco in Pernambuco is one of the most economically important poles in the state and among its cultivars, it is worth mentioning the grape culture. This sector faces challenges related to the response time between identifying a field infestation and taking corrective actions, in order to minimize losses. This work comprises a comparative analysis between deep learning architectures, applied to identification of diseases in grape cultivars. Results suggest that the use of these technologies is plausible to differentiate healthy grape leaves from leaves presenting one of three different types of diseases, obtaining near 100% accuracy in studied database using an architecture that can be employed in embedded devices.

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Delgado, Ana, Pengfei Dong, Mahyar Sameti, Vladislav N. Zimin, Juhwan Lee, Yazan Gharaibeh, Hiram G. Bezerra, David Wilson, Christopher Bashur, and Linxia Gu. "Mechanical Characterization of Calcificaiton in Diseased Coronary Artery with Atomic Force Microscope." In 2022 Design of Medical Devices Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/dmd2022-1055.

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Abstract In this work, the mechanical propertied of calcification in diseased coronary artery was evaluated with atomic force microscope (AFM). The heavily calcified coronary artery was harvest from a cadaver’s heart. The artery slices with thickness of 10 um were prepared with cryosectioning. Staining with Alizarin Red has been performed to highlight the calcification region. Results have shown that the calcified areas have a significant larger stiffness compared with the surrounding plaque and the media layer of a healthy artery. The calcification showed a heterogeneous property with larger deviation in stiffness distribution. The staining process affected the mechanical properties. Results will enhance the mechanical property database in the literature.

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Звіти організацій з теми "Healthy database"

Enríquez-Enríquez, Diego, Carlos Mecina-Zapata, Hernán Riveros-Cárcamo, Daniel Jerez-Mayorga, and Francisco Guede-Rojas. Warm-up strategies and performance in competitive swimmers. A systematized narrative review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, September 2021. http://dx.doi.org/10.37766/inplasy2021.9.0038.

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Review question / Objective: In competitive swimmers, are warm-up strategies effective in improving time trial performance? The aim of this systematized narrative review is to analyze the state of the art regarding the effectiveness of warm-up strategies on time trial performance in competitive swimmers. Condition being studied: Effects of active, passive or mixed warm-up strategies on performance in time trials equal to or less than 200 meters applied in healthy competitive swimmers over 15 years of age. Information sources: An electronic search of the MEDLINE database was performed through PubMed.

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Tan, Aihua, Yan Hu, Han Yan, Zheng Zhang, Ziyu Song, and Simiao Ran. Efficacy and safety of Chinese Herbal Medicine for Vascular dementia: A protocol of systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, January 2022. http://dx.doi.org/10.37766/inplasy2022.1.0098.

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Review question / Objective: As a common type of clinical dementia, the prevalence rate of vascular dementia(VaD) increased rapidly in recent years, damaging both patients’ health and social-economic prospect. There is currently no effective treatment for VaD, though western medicines can slightly improve patients' cognitive function, but not brought a significant improvement in daily life ability. Chinese herbal medicine(CHM) has been widely employed to treat dementia for more than 2000 years in China. Despite the proliferation of relevant literature, there is still a lack of evidence to prove the effectiveness and safety of such therapy. Therefore, this systematic review and meta-analysis protocol is aimed to assess the efficacy and safety of CHM forVaD. Information sources: 6 English databases (PubMed, Web of Science, Embase, Springer, CENTRAL and WHO International Clinical Trials Registry Platform) and 4 Chinese databases (Wan fang Database, Chinese Scientific Journals Database, China National Knowledge Infrastructure Database and Chinese Biomedical Literature Database).

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Zhao, Hui Yan, Sungha Kim, ChangSop Yang, and Mi Ju Son. Comparing acupoint catgut embedding and acupuncture therapies in simple obesity: Protocol for a systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, October 2021. http://dx.doi.org/10.37766/inplasy2021.10.0014.

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Review question / Objective: How effective are acupoint catgut embedding therapy sole or with other treatment? Condition being studied: Simple obesity. Information sources: We will search for trials from the following electronic databases: MEDLINE, EMBASE, the Cochrane Central Register of Controlled Trials (CENTRAL), and the Cumulative index to Nursing and Allied Health Literature (CINAHL). Trials will also be searched from three Korean medical databases (Oriental Medicine Advanced Searching Integrated System [OASIS], Science-On and KoreaMed), a Chinese database (Chinese National Knowledge Infrastructure [CNKI]) and a Japanese database (CiNii). Ongoing trials, trials will be searched on the Clinical Trials. gov (http://www.ClinicalTrials.gov), and the WHO International Clinical Trials Registry Platform (ICTRP) (http://apps.who.int/trialsearch/). We will also check the reference lists of reviews and the retrieved articles for additional studies. All bibliographic information and articles will be managed using EndNote (X8.2; Clarivate Analytics, Philadelphia). If the data of study are missing or insufficient, we will contact the corresponding authors by email.

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Svynarenko, Radion, Theresa L. Profant, and Lisa C. Lindley. Effectiveness of concurrent care to improve pediatric and family outcomes at the end of life: An analytic codebook. Pediatric End-of-Life (PedEOL) Care Research Group, College of Nursing, University of Tennessee, Knoxville, 2022. http://dx.doi.org/10.7290/m5fbbq.

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Implementation of the section 2302 of the 2010 Patient Protection and Affordable Care Act (ACA) enabled children enrolled in Medicaid/Children's Health Insurance Program with a prognosis of 6 months to live to use hospice care while continuing treatment for their terminal illness. Although concurrent hospice care became available more than a decade ago, little is known about the socio-demographic and health characteristics of children who received concurrent care; health care services they received while enrolled in concurrent care, their continuity, management, intensity, fragmentation; and the costs of care. The purpose of this study was to answer these questions using national data from the Centers of Medicare and Medicaid Services (CMS), which covered the first three years of ACA – from January 1, 2011, to December 31, 2013.The database included records of 18,152 children younger than the age of 20, who were enrolled in Medicaid hospice care in the sampling time frame. Children in the database also had a total number of 42,764 hospice episodes. Observations were excluded if the date of birth or death was missing or participants were older than 21 years. To create this database CMS data were merged with three other complementary databases: the National Death Index (NDI) that provided information on death certificates of children; the U.S. Census Bureau American Community Survey that provided information on characteristics of communities where children resided; CMS Hospice Provider of Services files and CMS Hospice Utilization and Payment files were used for data on hospice providers, and with a database of rural areas created by the Health Resources and Services Administration (HRSA). In total, 130 variables were created, measuring demographics and health characteristics of children, characteristics of health providers, community characteristics, clinical characteristics, costs of care, and other variables.

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Norris, Wendy. CABI’s Global Health database – Does it have a role to play in informing public health policy? Wallingford: CABI, 2016. http://dx.doi.org/10.1079/cabicomm-64-1702.

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Cechinel, Clovis, and Joao Alberto Martins Rodrigues. ASSOCIATION OF DELIRIUM AND FRAGILITY IN HOSPITALIZED ELDERLY: SYSTEMATIC REVIEW. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, September 2021. http://dx.doi.org/10.37766/inplasy2021.9.0022.

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Review question / Objective: What is the relationship between delirium and frailty in hospitalized elderly people? The objective of this research is to analyze the association between frailty and delirium in hospitalized elderly people, through a systematic literature review. Condition being studied: Frailty and delirium in hospitalized aged. Information sources: A specific search strategy for the language of each database was developed using, initially, the Medical Subject Headings (MEsH) descriptor and later translated to specific descriptors (Descriptors in Health Sciences (DeCS) and Embase Subject Headings (Emtree)). The search strategy will be applied by the researchers in the MEDLINE databases through the Pubmed Portal; Scielo; VHL; EMBASE, CINAHL, Scopus and Web of Science through the CAPES Journal Portal; CENTRAL via Cochrane.

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Riera-Guardia, Nuria, Catherine Saltus, Christine Bui, David Harris, James Kaye, Patricia Tennis, Jordi Castellsague, and Susana Perez-Gutthann. Changes in the landscape of health care database research from 2000 to 2011. Research Triangle Park, NC: RTI Press, August 2013. http://dx.doi.org/10.3768/rtipress.2013.rr.0019.1308.

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Amoroso, Paul J. The Application of Information Mining Technology to the Army Injury and Health Outcomes Database. Fort Belvoir, VA: Defense Technical Information Center, October 2001. http://dx.doi.org/10.21236/ada396404.

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Amoroso, Paul. The Application of Information Mining Technology to the Total Army Injury and Health Outcomes Database (TAIHOD). Fort Belvoir, VA: Defense Technical Information Center, May 2000. http://dx.doi.org/10.21236/ada392727.

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