Relevant bibliographies by topics / Diagnostic informatics

Academic literature on the topic 'Diagnostic informatics'

Author: Grafiati
Published: 10 December 2022
Last updated: 29 January 2023

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Journal articles on the topic "Diagnostic informatics"

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Olivo, G., A. Calisti, G. Carluccio, G. Poletti, and A. Lotto. "Informatics in urodynamics." Urologia Journal 61, no. 1 (February 1994): 55–59. http://dx.doi.org/10.1177/039156039406100112.

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Urodynamics is a diagnostic technique which makes full use of informatics. In the urodynamic laboratory the computer collects data both during clinical evaluation and during tests. Wiest KG software, which has been utilised in our laboratory for over five years, is illustrated. The advent of microprocessors has led to the development of miniaturised diagnostic systems in the biomedical field, which can study essential body functions over long periods of time: Rigiscan and vesicourethral Holter. We may assume that, with the development of so-called expert systems, the computer will take over the crucial urodynamic investigation which leads to diagnosis.
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Roosan, Don, Anandi V. Law, Mazharul Karim, and Moom Roosan. "Improving Team-Based Decision Making Using Data Analytics and Informatics: Protocol for a Collaborative Decision Support Design." JMIR Research Protocols 8, no. 11 (November 27, 2019): e16047. http://dx.doi.org/10.2196/16047.

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Background According to the September 2015 Institute of Medicine report, Improving Diagnosis in Health Care, each of us is likely to experience one diagnostic error in our lifetime, often with devastating consequences. Traditionally, diagnostic decision making has been the sole responsibility of an individual clinician. However, diagnosis involves an interaction among interprofessional team members with different training, skills, cultures, knowledge, and backgrounds. Moreover, diagnostic error is prevalent in the interruption-prone environment, such as the emergency department, where the loss of information may hinder a correct diagnosis. Objective The overall purpose of this protocol is to improve team-based diagnostic decision making by focusing on data analytics and informatics tools that improve collective information management. Methods To achieve this goal, we will identify the factors contributing to failures in team-based diagnostic decision making (aim 1), understand the barriers of using current health information technology tools for team collaboration (aim 2), and develop and evaluate a collaborative decision-making prototype that can improve team-based diagnostic decision making (aim 3). Results Between 2019 to 2020, we are collecting data for this study. The results are anticipated to be published between 2020 and 2021. Conclusions The results from this study can shed light on improving diagnostic decision making by incorporating diagnostics rationale from team members. We believe a positive direction to move forward in solving diagnostic errors is by incorporating all team members, and using informatics. International Registered Report Identifier (IRRID) DERR1-10.2196/16047
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Malik, Nafees N. "Integration of diagnostic and communication technologies." Journal of Telemedicine and Telecare 15, no. 7 (October 2009): 323–26. http://dx.doi.org/10.1258/jtt.2009.009001.

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Three key areas in diagnostics will drive the convergence of diagnostic and communication technologies: point-of-care testing, micro-electromechanical systems and biomarker discovery. In addition, the communications revolution means that increasing numbers of people will be able to send data from their home to their doctor using the Internet. Also, the widespread availability of broadband opens up the possibly of realtime videoconferencing with clinicians. It is already possible for patients at home to monitor simple variables, such as heart rate and blood pressure, and send their results using communication technologies to their doctors, who can promptly review the information to diagnose problems. As diagnostic and communication technologies converge, it will be feasible for patients to transmit more complex health-care data periodically to their doctor, who will be able to identify problems early on and thus modify disease management to prevent exacerbations of patients' medical conditions. This will allow improved patient care in a wide range of health-care situations, from acute medical conditions to chronic disease.
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Versluis, Anke, Kyma Schnoor, Niels H. Chavannes, and Esther PWA Talboom-Kamp. "Direct Access for Patients to Diagnostic Testing and Results Using eHealth: Systematic Review on eHealth and Diagnostics." Journal of Medical Internet Research 24, no. 1 (January 12, 2022): e29303. http://dx.doi.org/10.2196/29303.

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Background The number of people with chronic diseases and the subsequent pressure on health care is increasing. eHealth technology for diagnostic testing can contribute to more efficient health care and lower workload. Objective This systematic review examines the available methods for direct web-based access for patients to diagnostic testing and results in the absence of a health care professional in primary care. Methods We searched the PubMed, Embase, Web of Sciences, Cochrane Library, Emcare, and Academic Search Premier databases in August 2019 and updated in July 2021. The included studies focused on direct patient access to web-based triage leading to diagnostic testing, self-sampling or testing, or web-based communication of test results. A total of 45 studies were included. The quality was assessed using the Mixed Methods Appraisal Tool. Results Most studies had a quantitative descriptive design and discussed a combination of services. Diagnostic test services mainly focused on sexually transmitted infections. Overall, the use was high for web-based triage (3046/5000, >50%, who used a triage booked a test), for self-sampling or self-testing kits (83%), and the result service (85%). The acceptability of the test services was high, with 81% preferring home-based testing over clinic-based testing. There was a high rate of follow-up testing or treatment after a positive test (93%). Conclusions The results show that direct access to testing and result services had high use rates, was positively evaluated, and led to high rates of follow-up treatment. More research on cost-effectiveness is needed to determine the potential for other diseases. Direct access to diagnostic testing can lower the threshold for testing in users, potentially increase efficiency, and lower the workload in primary care.
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Chaikovsky, I. "Difficult diagnostic problem with a clinical informatics view." Klinical Informatics and Telemedicine 11, no. 12 (January 30, 2015): 106–12. http://dx.doi.org/10.31071/kit2015.12.16.

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Odufuwa, T. O. Bola, Lola Solebo, and Sancy Low. "Diagnostic decision support in ophthalmology." Journal of Telemedicine and Telecare 13, no. 1_suppl (July 2007): 44–46. http://dx.doi.org/10.1258/135763307781645121.

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Isabel is a Web-based, diagnostic decision support tool designed to provide a differential diagnosis of a patient's condition for interpretation by a qualified health-care professional. We investigated the accuracy of the Isabel system in ophthalmic primary care. A total of 100 case histories were prospectively collected from ophthalmic primary care clinic records. The patient demographics and clinical features of each case were then entered into the Isabel system, and the results generated by the decision support tool for each case were compared with the diagnosis reached by the ophthalmic team. Of the 100 cases in the dataset, there was no matching diagnosis in the first 2 pages of Isabel results in 40 cases. Of the 60 cases in which there was a matching diagnosis on the first 2 pages of results, 31 had a >50% match between the terms of the query and the Isabel diagnosis reminder system's database. It remains to be established whether this is high enough to be clinically useful in a practice setting. Inclusion of specific ophthalmic knowledge would probably improve the accuracy of the Isabel clinical diagnostic decision support system.
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Hay, W. H., A. S. Elstein, C. P. Friedman, G. Murphy, and F. M. Wolf. "Computer-based Diagnostic Support Systems." Journal of the American Medical Informatics Association 4, no. 3 (May 1, 1997): 256. http://dx.doi.org/10.1136/jamia.1995.0040256.

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Lawson, Anton E., and Erno S. Daniel. "Inferences of clinical diagnostic reasoning and diagnostic error." Journal of Biomedical Informatics 44, no. 3 (June 2011): 402–12. http://dx.doi.org/10.1016/j.jbi.2010.01.003.

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Randles, Theodore J., and Cherian S. Thachenkary. "Toward an Understanding of Diagnostic Teleconsultations and Their Impact on Diagnostic Confidence." Telemedicine Journal and e-Health 8, no. 4 (December 2002): 377–85. http://dx.doi.org/10.1089/15305620260507512.

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Miller, Randolph A. "Evaluating Evaluations of Medical Diagnostic Systems." Journal of the American Medical Informatics Association 3, no. 6 (November 1, 1996): 429–31. http://dx.doi.org/10.1136/jamia.1996.97084516.

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Dissertations / Theses on the topic "Diagnostic informatics"

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Degutis, Aurimas. "Naujų riedėjimo guolių defektų diagnostiniai tyrimai." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2014. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2014~D_20140611_151233-28760.

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Šio tyrimo tikslas yra sukurti, realizuoti ir išbandyti metodą leidžiantį atlikti naujo riedėjimo guolio elementų neardoma diagnostiką ir įvertinti surinkimo kokybę. Norint įvertinti guolio kokybę jo neišardant, pasitelkti virpesių pagreičio signalo stebėsenos ir analizės metodai. Atlikti sekantys uždaviniai siekiant įgyvendinti tyrimo tikslą: • Apžvelgti pramonėje naudojami guolių kokybės įvertinimo metodai. • Sukurtas ir realizuotas metodas naujo guolio kokybei nustatyti. • Praktiškai patikrinta metodo teikiama nauda. • Išnagrinėta suteptų ir nesuteptų guolių įtaką kokybės nustatymui. Atliekant virpesių signalų tyrimą sukurtu ir realizuotu guolių elementų virpesių pagreičio vidutinės kvadratinės vertės metodu, galima nustatyti guolio surinkimo kokybę, jo elementų pažeidimus, neatliekant ardymo kas būna neišvengiama taikant kitus metodus. Metodo efektyvumas patvirtintas atliekant tiriamųjų guolių išsamius mechaninius tyrimus, kurių metu buvo išardyti tyrimuose naudoti riedėjimo guoliai ir nuodugniai ištirta jų riedėjimo elementų kokybė ir gauti rezultatai palyginti su realizuoto metodo teikiamais rezultatais. Realizuoti pagalbiniai metodai kaip virpesių pagreičio skirtumo radimas, vyraujančių dažnių paieška, kurie suteikia papildomos informacijos apie guolį ir/ar jo kokybę. Sukurtas ir realizuotas virpesių pagreičio signalo centravimo metodas, patikrinta jo teikiama praktinė nauda.
The purpose of this thesis is to create, implement and test a method which would allow to evaluate the quality of newly made bearing and its elements, without the need of disassembling the bearing. To evaluate the quality of the bearing without disassembling it, vibration signal monitoring and analysis methods were used. The following tasks were completed in order to accomplish the goal of the thesis: • Reviewed bearing quality evaluation and failure detection methods used in industry. • Created and implemented a method which could evaluate the quality of a bearing. • Experimentally tested the efficiency of the method. • Investigated the used oil influence on the quality detection. The quality of the bearing and its elements can be measured using bearing elements vibration acceleration root mean square method. This method does not require the disassembling of the bearing which might not be avoided when using other methods. The efficiency of the method was proven by performing extensive mechanical analysis on studied bearings, which required to disassemble the bearing and check in detail the quality of the bearing. The collected results were compared with the ones received from the implemented method. Some additional methods were created and implemented which would give more information about the bearing and its quality. The vibration acceleration signal centering method was implemented and its efficiency was checked experimentally.
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Aldridge, Roger Benjamin Lochore. "Dermato-informatic approaches to understanding and improving lesional diagnostic expertise in cutaneous oncology." Thesis, University of Edinburgh, 2018. http://hdl.handle.net/1842/31068.

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Cutaneous malignancies represent a quarter of all new cancer diagnoses in the UK. The key to reducing the tumours’ associated mortality and morbidity is early diagnosis and treatment. Prompt diagnosis remains predominately a clinical skill, but relatively little investigation of the cognitive psychology underpinning expertise in this domain has been undertaken. This thesis aims to improve understanding of these processes and investigate how lesional diagnostic expertise might be enhanced. A large database of diagnostically tagged images was captured specifically for this project. A series of separate studies were undertaken to give insight into how lesional diagnosis occurs and how it can be improved. The studies highlighted that non-analytical pattern recognition (NAPR) is likely to predominate in distinguishing malignant and non-malignant skin lesions and that the widely-promoted rules advocating analytical pattern recognition (APR) are not effective for discriminating melanoma from benign pigmented lesions. The keystone to promoting the development of NAPR and thus diagnostic expertise would seem to be increasing a novice’s personal library of examples with relevant feedback. Studies demonstrated that current undergraduate exposure was variable but universally sparse, so simulation by way of diagnostically tagged images was developed which showed accuracy could be improved by increased exposure. This improvement occurred in both a content specific and dose responsive manner. These studies also highlighted that the learning curves for skin lesions are not uniform. Further studies demonstrated that the choice of images had implications on the development of diagnostic expertise; suggesting it was important that these images represent clinical practice rather than “classic” examples traditionally advocated for teaching purposes. In addition, studies highlighted the potential benefit of the 3D models developed during this project. Building on the idea that a personal catalogue of relevant referent images was crucial to enhanced diagnostic accuracy, prototype software was developed to exteriorise the experts’ library of examples; in the tests described novices utilising the software delivered superior accuracy than medical students on the completion of their undergraduate teaching. In summation, the work described shows that by utilising dermato-informatic approaches lesional diagnostic competence can be improved significantly.
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Chao, Sam. "Novel data mining methodologies for medical data processing and application on i+diagnostic workbench." Thesis, University of Macau, 2008. http://umaclib3.umac.mo/record=b1872954.

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Wu, Bangxian, and 吴邦限. "Clinical applications of imaging informatics: computer aided diagnosis of nasopharyngeal carcinoma based on PET-CTand multimedia electronic patient record system for neurosurgery." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2012. http://hub.hku.hk/bib/B48521917.

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Medical imaging informatics is one of the important research areas in radiology that studies how information available on medical images is retrieved, analyzed, and enhanced. Recent development in medical imaging informatics has resulted in improvement of diagnostic accuracy based on imaging examinations, as well as efficiency in clinical workflow. Computer aided diagnosis (CAD) and electronic patient record system (ePR) are both topics in medical imaging informatics that have matured from research concepts into commercially available computerized systems in clinical environment. The current challenges are to further broaden their scope of applications. In this thesis project, I developed a CAD system for interpreting PET/CT examinations and an ePR system for patient data integration in neurosurgery suites. Specifically, the CAD system in this project was designed to automatically diagnose nasopharyngeal carcinoma (NPC) on Positron emission tomography/computed tomography (PET/CT) examinations, which aimed to detect and classify both the primary NPC and its nodal metastasis. The regions of interests (ROIs) were segmented from the PET images and registered onto the CT in order to combine the imaging features from both modalities and the a priori anatomical knowledge of the suspicious lesion. These combined features were then classified by a support vector machine (SVM) to generate the final diagnosis result. The system was validated with 25 PET/CT examinations from 10 patients suffering from NPC, and the result produced by the system was compared to the gold standard of lesions manually contoured by experienced radiologists. The results confirmed that the system successfully distinguished all 53 genuine lesions from the mimickers due to normal physiological uptake and artifacts that also produced potentially confusing signals. The second part of the project involved development of an electronic patient record system (ePR) that integrated all the myriad of images and different types of clinical information before, during, and after neurosurgery operations, in order to enhance efficiency of work flow in this unique clinical environment. The system comprises of pre-, intra-, and post-operation modules which correspond to the different stages of the neurosurgery. The pre-op module was developed to store and categorize all images and data before the procedure to assist the surgeons in planning operation. The intra-op module integrates all the input signals, waveforms, images and videos that are produced by different imaging and physiological monitoring devices in the operation room during the surgery, and displays all the relevant information in a single large screen in real time to ease monitoring of the procedure. The post-op module helps surgeons to review all the data acquired from all the prior stages for follow-up of the treatment outcome. One-tumor case was utilized to test the pre-op module, and the signals and waveforms simulators were used to evaluate the performance of the intra-op module. In summary, two different medical informatics systems, a CAD and an ePR system were developed. Both showed promising results in laboratory tests. Future work would involve performance enhancement and feedback of the systems, and ultimately evaluation of these systems in the clinical environment.
published_or_final_version
Diagnostic Radiology
Master
Master of Philosophy
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Gellerstedt, Martin. "Interpretation of diagnostic information given patient characteristics /." Göteborg : Institute of Biomedicine, The Sahlgrenska Academy at Göteborg University, 2006. http://hdl.handle.net/2077/720.

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Wang, Yuan. "Heart rate variability and respiration signals as late onset sepsis diagnostic tools in neonatal intensive care units." Thesis, Rennes 1, 2013. http://www.theses.fr/2013REN1S106/document.

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Le sepsis tardif, défini comme une infection systémique chez les nouveaux nés âgés de plus de 3 jours, survient chez environ 7% à 10% de tous les nouveau-nés et chez plus de 25% des nouveau-nés de très faible poids de naissance qui sont hospitalisés dans les unités de soins intensifs néonatals (USIN). Les apnées et bradycardies (AB) spontanées récurrentes et graves sont parmi les principaux indicateurs précoces cliniques de l'infection systémique chez les prématurés. L'objectif de cette thèse est de déterminer si la variabilité du rythme cardiaque (VRC), la respiration et l'analyse de leurs relations aident au diagnostic de l'infection chez les nouveaux nés prématurés par des moyens non invasifs en USIN. Par conséquent, on a effectué l'analyse Mono-Voie (MV) et Bi-Voies (BV) sur deux groupes sélectionnés de nouveau-nés prématurés: sepsis (S) vs. non-sepsis (NS). (1) Tout d'abord, on a étudié la série RR non seulement par des méthodes de distribution (moy, varn, skew, kurt, med, SpAs), par les méthodes linéaire: le domaine temporel (SD, RMSSD) et dans le domaine fréquentiel (p_VLF, p_LF, p_HF), mais aussi par les méthodes non–linéaires: la théorie du chaos (alphas, alphaF) et la théorie de l'information (AppEn, SamEn, PermEn, Regul). Pour chaque méthode, nous étudions trois tailles de fenêtre 1024/2048/4096, puis nous comparons ces méthodes afin de trouver les meilleures façons de distinguer S de NS. Les résultats montrent que les indices alphaS, alphaF et SamEn sont les paramètres optimaux pour séparer les deux populations. (2) Ensuite, la question du couplage fonctionnel entre la VRC et la respiration nasale est adressée. Des relations linéaires et non-linéaires ont été explorées. Les indices linéaires sont la corrélation (r²), l'indice de la fonction de cohérence (Cohere) et la corrélation temps-fréquence (r2t,f) , tandis que le coefficient de régression non-linéaire (h²) a été utilisé pour analyser des relations non-linéaires. Nous avons calculé les deux directions de couplage pendant l'évaluation de l'indice h2 de régression non-linéaire. Enfin, à partir de l'ensemble du processus d'analyse, il est évident que les trois indices (r2tf_rn_raw_0p2_0p4, h2_rn_raw et h2_nr_raw) sont des moyens complémentaires pour le diagnostic du sepsis de façon non-invasive chez ces patients fragiles. (3) Après, l'étude de faisabilité de la détection du sepsis en USIN est réalisée sur la base des paramètres retenus lors des études MV et BV. Nous avons montré que le test proposé, basé sur la fusion optimale des six indices ci-dessus, conduit à de bonnes performances statistiques. En conclusion, les mesures choisies lors de l'analyse des signaux en MV et BV ont une bonne répétabilité et permettent de mettre en place un test en vue du diagnostic non invasif et précoce du sepsis. Le test proposé peut être utilisé pour fournir une alarme fiable lors de la survenue d'un épisode d'AB tout en exploitant les systèmes de monitoring actuels en USIN
Late-onset sepsis, defined as a systemic infection in neonates older than 3 days, occurs in approximately 10% of all neonates and in more than 25% of very low birth weight infants who are hospitalized in Neonatal Intensive Care Units (NICU). Recurrent and severe spontaneous apneas and bradycardias (AB) is one of the major clinical early indicators of systemic infection in the premature infant. Various hematological and biochemical markers have been evaluated for this indication but they are invasive procedures that cannot be repeated several times. The objective of this Ph.D dissertation was to determine if heart rate variability (HRV), respiration and the analysis of their relationships help to the diagnosis of infection in premature infants via non-invasive ways in NICU. Therefore, we carried out Mono-Channel (MC) and Bi-Channel (BC) Analysis in two selected groups of premature infants: sepsis (S) vs. non-sepsis (NS). (1) Firstly, we studied the RR series not only by distribution methods (moy, varn, skew, kurt, med, SpAs), by linear methods: time domain (SD, RMSSD) and frequency domain (p_VLF, p_LF, p_HF), but also by non-linear methods: chaos theory (alphaS, alphaF) and information theory (AppEn, SamEn, PermEn, Regul). For each method, we attempt three sizes of window 1024/2048/4096, and then compare these methods in order to find the optimal ways to distinguish S from NS. The results show that alphaS, alphaF and SamEn are optimal parameters to recognize sepsis from the diagnosis of late neonatal infection in premature infants with unusual and recurrent AB. (2) The question about the functional coupling of HRV and nasal respiration is addressed. Linear and non-linear relationships have been explored. Linear indexes were correlation (r²), coherence function (Cohere) and time-frequency index (r2t,f), while a non-linear regression coefficient (h²) was used to analyze non-linear relationships. We calculated two directions during evaluate the index h2 of non-linear regression. Finally, from the entire analysis process, it is obvious that the three indexes (r2tf_rn_raw_0p2_0p4, h2_rn_raw and h2_nr_raw) were complementary ways to diagnosticate sepsis in a non-invasive way, in such delicate patients.(3) Furthermore, feasibility study is carried out on the candidate parameters selected from MC and BC respectively. We discovered that the proposed test based on optimal fusion of 6 features shows good performance with the largest Area Under Curves (AUC) and the least Probability of False Alarm (PFA). As a conclusion, we believe that the selected measures from MC and BC signal analysis have a good repeatability and accuracy to test for the diagnosis of sepsis via non-invasive NICU monitoring system, which can reliably confirm or refute the diagnosis of infection at an early stage
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Jonsson, Katrin. "Digitalized industrial equipment an investigation of remote diagnostics services /." Doctoral thesis, Umeå : Institutionen för informatik, Umeå universitet, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-33717.

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Rahimpour, Roozbeh. "Parameterizing and capturing diagnostics information during design." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ30975.pdf.

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Enblom, Gustav, and Hannes Eskebaek. "Real Time Vehicle Diagnostics Using Head Mounted Displays." Thesis, Linköpings universitet, Programvara och system, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-119657.

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This thesis evaluates how a head mounted display (HMD) can be used to increase usability compared to existing computer programs that are used during maintenance work on vehicles. Problems identified during a case study in a vehicle workshop are first described. As an attempt to solve some of the identified problems a prototype application using a HMD was developed. The prototype application aids the user during troubleshooting of systems on the vehicle by leading the mechanic with textual information and augmented reality (AR). Assessment of the prototype application was done by comparing it to the existing computer program and measuring error rate and time to completion for a predefined task. Usability was also measured using the System Usability Scale. The assessment showed that HMDs can provide higher usability in terms of efficiency and satisfaction. Furthermore, the thesis describes and discusses other possibilities and limitations that usage of HMDs and AR can lead to that were identified both from theory and during implementation.
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Taylor, Kelli Alise. "Teacher perceptions of diagnostic information provided by standards-based testing." [Gainesville, Fla.] : University of Florida, 2006. http://purl.fcla.edu/fcla/etd/UFE0015679.

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Books on the topic "Diagnostic informatics"

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Medical imaging informatics. New York: Springer, 2010.

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Informatics in medical imaging. Boca Raton: CRC Press, 2012.

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Daskalaki, Andriani. Informatics in oral medicine: Advanced techniques in clinical and diagnostic technologies. Hershey, PA: Medical Information Science Reference, 2010.

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1966-, Daskalaki Andriani, ed. Informatics in oral medicine: Advanced techniques in clinical and diagnostic technologies. Hershey PA: Medical Information Science Reference, 2010.

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Branstetter, Barton F. Practical imaging informatics: Foundations and applications for PACS professionals. Edited by Society for Imaging Informatics in Medicine. New York: Springer, 2009.

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PACS and imaging informatics: Basic principles and applications. 2nd ed. Hoboken, N.J: John Wiley & Sons, 2010.

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Amine, Nait-Ali, and Cavaro-Menard Christine, eds. Compression of biomedical images and signals. London: ISTE, 2008.

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1925-, Maeda Kazuo, Hogaki M, and Nakano H. 1942-, eds. Computers and perinatal medicine: Proceedings of the 2nd World Symposium "Computers in the Care of the Mother, Fetus, and Newborn," Kyoto, 23-26 October 1989. Amsterdam: Excerpta Medica, 1990.

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Digital image processing for medical applications. Cambridge: Cambridge University Press, 2009.

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Andriole, Katherine P. Medical imaging 2008: PACS and imaging informatics : 20-21 February 2008, San Diego, California, USA. Edited by Society of Photo-optical Instrumentation Engineers and American Association of Physicists in Medicine. Bellingham, Wash., USA: SPIE, 2008.

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Book chapters on the topic "Diagnostic informatics"

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Feldman, Mitchell J. "Diagnostic Decision Support." In Health Informatics, 161–83. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-76446-7_12.

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Miller, Randolph A. "Diagnostic Decision Support Systems." In Health Informatics, 181–208. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31913-1_11.

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Séroussi, B., P. Le Beux, and A. Venot. "Medical Diagnostic Decision Support." In Medical Informatics, e-Health, 141–66. Paris: Springer Paris, 2013. http://dx.doi.org/10.1007/978-2-8178-0478-1_7.

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Miller, Randolph A., and Antoine Geissbuhler. "Clinical Diagnostic Decision Support Systems—An Overview." In Health Informatics, 3–34. New York, NY: Springer New York, 1999. http://dx.doi.org/10.1007/978-1-4757-3903-9_1.

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Barreto, J. M., F. de Azevedo, C. I. Zanchin, and L. R. Epprecht. "Associative Memories in Medical Diagnostic." In Medical Informatics Europe 1991, 348–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-93503-9_62.

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Muscari, Antonio. "DIANA 2 / The Diagnostic Analyzer: Diagnostic Consultation in Internal Medicine by Personal Computer." In Medical Informatics Europe 1991, 241–45. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-93503-9_42.

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Lai, Wallace Wai-Lok. "Underground Utilities Imaging and Diagnosis." In Urban Informatics, 415–38. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8983-6_24.

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AbstractThe invisible and congested world of underground utilities (UU) is an indispensable mystery to the general public because their existence is invisible until problems happen. Their growth aligns with the continuous development of cities and the ever-increasing demand for energy and quality of life. To satisfy a variety of modern requirements like emergency or routine repair, safe dig and excavation, monitoring, maintenance, and upscaling of the network, two basic tasks are always required. They are mapping and imaging (where?), and diagnosis (how healthy?). This chapter gives a review of the current state of the art of these two core topics, and their levels of expected survey accuracy, and looks forward to future trends of research and development (Sects. 24.1 and 24.2). From the point of view of physics, a large range of survey technologies is central to imaging and diagnosis, having originated from electromagnetic- and acoustic-based near-surface geophysical and nondestructive testing methods. To date, survey technologies have been further extended by multi-disciplinary task forces in various disciplines (Sect. 24.3). First, it involves sending and retrieving mechanical robots to survey the internal confined spaces of utilities using careful system control and seamless communication electronics. Secondly, the captured data and signals of various kinds are positioned, processed, and in the future, pattern-recognized with a database to robustly trace the location and diagnose the conditions of any particular type of utilities. Thirdly, such a pattern-recognized database of various types of defects can be regarded as a learning process through repeated validation in the laboratory, simulation, and ground-truthing in the field. This chapter is concluded by briefly introducing the human-factor or psychological and cognitive biases, which are in most cases neglected in any imaging and diagnostic work (Sect. 24.4). In short, the very challenging nature and large demand for utility imaging and diagnostics have been gradually evolving from the traditional visual inspection to a new era of multi-disciplinary surveying and engineering professions and even towards the psychological part of human–machine interaction.
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Wilkinson, E. J., and I. Harvey. "Accuracy of Hospital Diagnostic and Operative Procedure Coding." In Medical Informatics Europe 1991, 739–43. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-93503-9_132.

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Popper, M., and F. Gyárfáš. "Two Flows of Approximativeness in Diagnostic Expert Systems." In Medical Informatics Europe 85, 163–67. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-642-93295-3_33.

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Stary, Christian, and Karl Fasching. "UnPatient: A Knowledge Base for Medical Diagnostic Expert Systems." In Medical Informatics Europe 1991, 289–93. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-93503-9_51.

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Conference papers on the topic "Diagnostic informatics"

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Giannaris, Pericles S., Zainab Al-Taie, Mikhail L. Kovalenko, Richard D. Hammer, Mihail Popescu, and Dmitriy Shin. "Informatics Framework to Identify Consistent Diagnostic Techniques." In 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2019. http://dx.doi.org/10.1109/bibm47256.2019.8983164.

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Hudson, Donna L., and Maurice E. Cohen. "Merging medical informatics and automated diagnostic methods." In 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2013. http://dx.doi.org/10.1109/embc.2013.6610617.

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Gutten, Miroslav, Daniel Korenciak, and Robert Zahoransky. "Measuring and diagnostic system of transformers." In 2018 Cybernetics & Informatics (K&I). IEEE, 2018. http://dx.doi.org/10.1109/cyberi.2018.8337563.

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Esteves, Eduardo, Igor Cruz, Ana Esteves, Marlene Barros, and Nuno Rosa. "SalivaPrint as a Non-invasive Diagnostic Tool." In 13th International Conference on Health Informatics. SCITEPRESS - Science and Technology Publications, 2020. http://dx.doi.org/10.5220/0009163506770682.

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Haffner, Oto, Erik Kucera, and Stefan Kozak. "Weld segmentation for diagnostic and evaluation method." In 28th International Conference 2016. Cybernetics & Informatics (K&I). IEEE, 2016. http://dx.doi.org/10.1109/cyberi.2016.7438605.

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Enchev, Georgi, Nikolay Djagarov, Zhivko Grozdev, and Stepan Dmitriev. "Unified database for ship monitoring and diagnostic system." In 2020 International Conference Automatics and Informatics (ICAI). IEEE, 2020. http://dx.doi.org/10.1109/icai50593.2020.9311343.

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"Real-time monitoring & diagnostic methods and applications." In 2015 IEEE 13th International Conference on Industrial Informatics (INDIN). IEEE, 2015. http://dx.doi.org/10.1109/indin.2015.7281790.

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"Monitoring, diagnostic and prognostic methods and industrial applications." In 2016 IEEE 14th International Conference on Industrial Informatics (INDIN). IEEE, 2016. http://dx.doi.org/10.1109/indin.2016.7819200.

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Sram, Norbert. "An Ontology model-based ECG diagnostic solution." In 2012 IEEE 13th International Symposium on Computational Intelligence and Informatics (CINTI). IEEE, 2012. http://dx.doi.org/10.1109/cinti.2012.6496758.

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Stefanini, Alessandro, Davide Aloini, Riccardo Dulmin, and Valeria Mininno. "Linking Diagnostic-Related Groups (DRGs) to their Processes by Process Mining." In 9th International Conference on Health Informatics. SCITEPRESS - Science and and Technology Publications, 2016. http://dx.doi.org/10.5220/0005817804380443.

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Reports on the topic "Diagnostic informatics"

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Pai, Menaka, Allan Grill, Noah Ivers, Antonina Maltsev, Katherine J. Miller, Fahad Razak, Michael Schull, et al. Vaccine Induced Prothrombotic Immune Thrombocytopenia (VIPIT) Following AstraZeneca COVID-19 Vaccination. Ontario COVID-19 Science Advisory Table, March 2021. http://dx.doi.org/10.47326/ocsat.2021.02.17.1.0.

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This Science Brief provides information for health care professionals about Vaccine Induced Prothrombotic Immune Thrombocytopenia (VIPIT), a rare adverse event following the AstraZeneca vaccine. This brief describes the pathophysiology, presentation, diagnostic work-up and treatment of VIPIT. Figure 1 presents a decision tree for diagnosis and rule out of VIPIT.
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Serban, Christa, Diana Lungeanu, Sergiu-David Bota, Claudia C. Cotca, Meda Lavinia Negrutiu, Virgil-Florin Duma, Cosmin Sinescu, and Emanuela Lidia Craciunescu. Emerging Technologies for Dentin Caries Detection. A Systematic Review and Meta-Analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, January 2022. http://dx.doi.org/10.37766/inplasy2022.1.0097.

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Review question / Objective: What is the diagnostic test accuracy of emerging technologies for non-cavitated dentin caries detection, considering in vivo and in vitro studies that reported results regarding the occlusal and proximal surfaces, over the last 10 years? Information sources: Electronic databases of Medline, Embase, and PubMed were searched for articles published within the last decade (January 2011 to August 2021).in the period mentioned above. Medline and Embase databases were searched concomitantly using the Ovid interface. To find articles potentially missed by the search, Google Scholar was queried for diagnostic validity studies pertaining to technologies for dentin caries diagnosis.
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Cooke, Garth, Nicola Maiorana, Theodore Myers, Johnnie Jernigan, and Eric N. Carlson. Integrated Maintenance Information System Diagnostic Module (IMIS-DM). Version 5.0. Fort Belvoir, VA: Defense Technical Information Center, June 1991. http://dx.doi.org/10.21236/ada237244.

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Cooke, Garth, Johnnie Jernigan, Nicola Maiorana, Theodore Myers, and Janet E. Murphy. Object-Oriented Integrated Maintenance Information System (IMIS) diagnostic Module Development. Fort Belvoir, VA: Defense Technical Information Center, July 1990. http://dx.doi.org/10.21236/ada224758.

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Hood, Leroy E. Brain Region and Cell Type Transcripts for Informative Diagnostics. Fort Belvoir, VA: Defense Technical Information Center, July 2009. http://dx.doi.org/10.21236/ada508650.

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Piette, Mary Ann, Satkartar Kinney, Norman Bourassa, Peng Xu, Philip Haves, Kristopher Kinney, and Christine Shockman. Early evaluation of a second generation information monitoring and diagnostic system. Office of Scientific and Technical Information (OSTI), March 2002. http://dx.doi.org/10.2172/840325.

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Hamm, Robert M. Diagnostic Interference: People's Use of Information in Incomplete Bayesian World Problems. Fort Belvoir, VA: Defense Technical Information Center, July 1990. http://dx.doi.org/10.21236/ada227678.

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Kasidi, Heru, and Peter C. Miller. Norplant® use-dynamics diagnostic study, 1991. Population Council, 1992. http://dx.doi.org/10.31899/rh1992.1000.

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After five years of national programmatic use of Norplant® contraceptive implants, in 1992 the National Population and Family Planning Board (BKKBN) plans to implement a follow-up Use-Dynamics Study of implant users in West Java and West Sumatra Provinces, Indonesia. A Diagnostic Study was implemented in 1991 to prepare for that study prior to final approval, and to get some early insights into implant program operations in advance of final results from the main study. This report is a summary of findings from the Diagnostic Study. The Diagnostic Study had two broad objectives: to obtain information to guide development of the larger Use-Dynamics Study, and to supplement existing information on implant service delivery with a field-based observation study to help BKKBN make necessary decisions for its implant program. The Diagnostic Study helped in sharpening the original questionnaire draft, which has been appropriately revised.
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Bergold, Peter. Interhemispheric Information Transfer: A New Diagnostic Method for Mild Traumatic Brain Injury. Fort Belvoir, VA: Defense Technical Information Center, October 2011. http://dx.doi.org/10.21236/ada613511.

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Cooke, Garth, Johnnie Jernigan, Theodore Myers, Nicola Maiorana, and Dwayne Mason. Verification and Validation of the Integrated Maintenance Information System (MIS) Diagnostic Module. Fort Belvoir, VA: Defense Technical Information Center, May 1990. http://dx.doi.org/10.21236/ada222174.

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