Relevant bibliographies by topics / Diagnosis

Academic literature on the topic 'Diagnosis'

Author: Grafiati
Published: 4 June 2021
Last updated: 7 July 2024

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Journal articles on the topic "Diagnosis"

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Bergan, John R. "Diagnosis of diagnosis diagnosed." Professional School Psychology 3, no. 2 (1988): 135–40. http://dx.doi.org/10.1037/h0090555.

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Alessi, Galen. "Diagnosis diagnosed: A systemic reaction." Professional School Psychology 3, no. 2 (1988): 145–51. http://dx.doi.org/10.1037/h0090554.

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Meyers, Joel. "Diagnosis diagnosed: Twenty years after." Professional School Psychology 3, no. 2 (1988): 123–34. http://dx.doi.org/10.1037/h0090556.

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Mashkov, V., and O. Mashkov. "Interpretation of diagnosis problem of system level self-diagnosis." Mathematical Modeling and Computing 2, no. 1 (July 1, 2015): 71–76. http://dx.doi.org/10.23939/mmc2015.01.071.

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Rele, Mayur, and Dipti Patil. "Revolutionizing Liver Disease Diagnosis: AI-Powered Detection and Diagnosis." International Journal of Science and Research (IJSR) 12, no. 11 (November 5, 2023): 401–7. http://dx.doi.org/10.21275/sr231105021910.

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Wykes, Til, and Felicity Callard. "Diagnosis, diagnosis, diagnosis: towards DSM-5." Journal of Mental Health 19, no. 4 (July 16, 2010): 301–4. http://dx.doi.org/10.3109/09638237.2010.494189.

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Makras, Polyzois, Georgios Toloumis, Dimitrios Papadogias, Gregory Kaltsas, and Michael Besser. "The diagnosis and differential diagnosis of endogenous Cushing?s syndrome." HORMONES 5, no. 4 (October 15, 2006): 231–50. http://dx.doi.org/10.14310/horm.2002.11189.

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Wong, Bernice Y. ""Diagnosis diagnosed: Twenty years after": Comment." Professional School Psychology 3, no. 2 (1988): 141–43. http://dx.doi.org/10.1037/h0090558.

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Brems, Christiane, Mark E. Johnson, Randall Burns, and Nicholas Kletti. "Dual Diagnosis: Variations Across Differing Comorbid Diagnoses." Journal of Dual Diagnosis 2, no. 3 (July 24, 2006): 109–29. http://dx.doi.org/10.1300/j374v02n03_10.

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Agarwal, Saumya, and Mamta Gupta. "Diagnostic Accuracy of Cytological Sampling Techniques by Bronchoscopy in the Diagnosis of Lung Cancer." Annals of Pathology and Laboratory Medicine 5, no. 5 (May 29, 2018): A354–361. http://dx.doi.org/10.21276/apalm.1720.

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Dissertations / Theses on the topic "Diagnosis"

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Milovic, Ana. "Novel Diagnostic approach for tuberculosis diagnosis." Master's thesis, University of Cape Town, 2010. http://hdl.handle.net/11427/2715.

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There is a clear need for a rapid, inexpensive point-of-care diagnostic test for tuberculosis (TB). The aim of this study was to analyze the performance of a novel rapid diagnostic test for TB, GeneXpert MTB/RIF, in symptomatic adults and to compare it to other commercially available nucleic acid amplification assays and to standard microbiological smear and culture. The GeneXpert system performs real time, nested PCR from sputum and provides a result within two hours of sampling. The result includes a semi-quantitative assessment of bacillary load in the sample and simultaneously detects rifampicin resistance. This study was part of a cross-sectional, multi-centre clinical trial. The Cape Town component of this study was conducted at three sites, one hospital based and other two community clinics, all with high TB/HIV coinfection rate. Among 43.2% of patients diagnosed with TB during the evaluation study, GeneXpert detected TB in 95.5% of all culture positive cases. In smear positive patients, sensitivity was 99.0% and in smear-negative, culture positive patients, 86.1%. Specificity in patients who were culture negative and clinically diagnosed as non-TB after follow up was 98.4%. Sensitivity and specificity of GeneXpert in detecting rifampicin resistance was 100% comparing to phenotypically detected drug resistance. GeneXpert is a highly promising novel tool for the rapid diagnosis of adult TB. Future studies are needed to establish the performance and impact of GeneXpert when performed at the level of the microscopy centre.
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Cateriano-Alberdi, Maria Paula, Cecilia D. Palacios-Revilla, and Eddy R. Segura. "Survey of Diagnostic Criteria for Fetal Distress in Latin American and African Countries: Over Diagnosis or Under Diagnosis?" Glorigin LifeSciences, 2017. http://hdl.handle.net/10757/622212.

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Ismaili, Khalid. "Evaluation et prise en charge des anomalies foetales du rein et du tractus urinaire." Doctoral thesis, Universite Libre de Bruxelles, 2006. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/210748.

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Bracher, Michael. "Living without a diagnosis : formations of pre-diagnostic identity in the lives of AS people diagnosed in adulthood." Thesis, University of Southampton, 2013. https://eprints.soton.ac.uk/368009/.

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Asperger Syndrome (AS) is currently understood as a neurodevelopmental condition associated with difficulties in social communication, social interaction, and social imagination. Many AS people also experience differences in sensory sensitivities and perceptions of the surrounding world. Most diagnoses are now made in childhood; however, there remain a number of people who are diagnosed in adulthood. Within this group, there are also a number who, born before 1980, grew up in an era before the condition had been identified and diagnosed, and therefore spent a substantial part of their lives living either without a diagnosis or with an incorrect diagnosis. This is an under-researched group, whose pre-diagnostic experiences have thus far not been subject to detailed investigation, and as such are often poorly or inconsistently understood both academically and by service providers. The primary aim of the thesis is to explore their experiences by addressing the following three questions: 1. How do AS people understand their dispositional selves in the pre-diagnostic phase of life? 2. How do self-other relations affect pre-diagnostic understandings of self? 3. How does management of everyday insecurities relate to formations of the pre-diagnostic self? These questions will be explored through comparative analysis of seven autobiographies, authored by AS people who were diagnosed in adulthood. The analysis is informed by a neo-Bourdieusian approach to identity through which I develop an account of relations between authenticity (one’s ability to experience dispositionally appropriate ways of being), accountability (referring to the social and cultural conditions of exchange with others) and legitimacy (the experience of one’s ways of being as valid) as a way of framing some of the issues faced by AS adults in pre-diagnostic life in relation to the themes above. I suggest that this framework can offer a useful perspective on pre-diagnostic issues by drawing attention to the interrelation of dispositional and social circumstances in shaping individual life experiences.
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Adam, Johan D. "Failure diagnostic expert systems : a case study in fault diagnosis /." Master's thesis, This resource online, 1991. http://scholar.lib.vt.edu/theses/available/etd-01202010-020148/.

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Slyvka, Nataliia Oleksyivna, G. V. Nataliia, and Igor Antonovych Plesh. "MODERN WAYS TO IMPROVE DIAGNOSIS DIAGNOSTICS FOR ALCOHOLIC LIVER DISEASE." Thesis, МАТЕРИАЛЫ НАУЧНО-ПРАКТИЧЕСКОЙ КОНФЕРЕНЦИИ С МЕЖДУНАРОДНЫМ УЧАСТИЕМ. - Самарканд, 2016, № 2.1 (88), 2016. http://dspace.bsmu.edu.ua:8080/xmlui/handle/123456789/11624.

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Bengtsson, Jonas. "Gearbox Diagnosis." Thesis, Linköpings universitet, Fordonssystem, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-75565.

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Diagnosis based on vibration analysis is a method that has many benefits to offer. It is easy to implement the method on existing transmissions by attaching accelerometers outside the gearbox housing. If you have knowledge of the gearbox geometry, such as number of tooth on the gears and types of bearings, and any unwanted frequencies can be filtered out a good estimation of the gearbox condition can be achieved. In this thesis a number of condition indicators have been tested to identify and isolate different faults that may appear. All analysing have been done in the time domain on different synchronously averaged signals. The condition indicators have been used together with diagnosis theory from the division of Vehicular systems to create a diagnosis system able to find faults on a number of modelled signals.
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Moffitt, Theodore Paul. "Compact fiber-optic diffuse reflection probes for medical diagnostics /." Full text open access at:, 2007. http://content.ohsu.edu/u?/etd,232.

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Sanchez, Phyllis Nancy. "Psychiatric diagnosis vs medical diagnosis: Are mental health professionals aware?" Diss., The University of Arizona, 1989. http://hdl.handle.net/10150/184826.

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For years research has demonstrated a varying incidence of medical disorders manifesting with psychiatric symptoms. A relatively conservative estimate of such so called "medical masquerades" is around 10%. It is important to ascertain whether health care professionals are aware of possible medical masquerades perhaps most especially in a mental health center outpatient setting where non-medically trained clinicians are the first line therapists for treatment in the majority of cases. This study set about to find out how aware three types of health care clinicians (psychiatrists, nonpsychiatrically trained medical doctors, and non-medically trained mental health psychotherapists) are of the prevalence of medical masquerades, and whether these three types of clinicians perform differently on three types of clinical vignettes (psychiatric, somatoform, and medical masquerades). Results revealed that all health care professionals surveyed are aware that there are a percentage of medical masquerades in the clinical population. Results also revealed that the three types of clinicians performed differently on the case vignettes.
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King, Kathleen M. "Making diagnosis explicit." Thesis, University of Edinburgh, 1994. http://hdl.handle.net/1842/30357.

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What is good diagnostic practice? The answer is elusive for many medical students and equally puzzling for those trying to build effective medical decision support systems. Much of the problem lies in the difficulty of 'getting at' diagnosis. Expert diagnosticians find it difficult to introspect on their own strategies, thus making it difficult to pass on their expertise. Traditional knowledge acquisition methods are designed for gathering static domain knowledge and are inappropriate for the acquisition of knowledge about the diagnostic 'task'. More advanced knowledge acquisition methodologies, particularly those which focus on the modelling of problem-solving knowledge seem to hold more promise, but are not sufficiently practicable to allow anyone other than a knowledge engineer to operate directly. Given the difficulty experts have in accessing their own diagnostic strategies, what is needed is a tool which would enable diagnosticians themselves to directly formulate and experiment with their own methods of diagnosis. This research describes the development of a knowledge acquisition methodology geared specifically towards the exposition of medical diagnosis. The methodology is implemented as a toolkit enabling exploration and construction of medical diagnostic models and production of model-based medical diagnostic support systems. The toolkit allows someone skilled in diagnosis to articulate their diagnostic strategy so that it can be used by those with less experience.
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Books on the topic "Diagnosis"

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1951-, Connor J. M., and Whittle Martin J, eds. Prenatal diagnosis in obstetric practice. Oxford: Blackwell Scientific, 1989.

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J, Trent R., ed. Handbook of prenatal diagnosis. Cambridge: Cambridge University Press, 1995.

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Roy, Frederick Hampton. Ocular differential diagnosis. 5th ed. Philadelphia: Lea & Febiger, 1993.

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Ocular differential diagnosis. 4th ed. Philadelphia: Lea & Febiger, 1989.

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Ocular differential diagnosis. 6th ed. Baltimore: Williams & Wilkins, 1997.

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Roy, Frederick Hampton. Ocular differential diagnosis. 7th ed. Philadelphia: Lippincott Williams & Wilkins, 2002.

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Ashton, Richard. Differential diagnosis in dermatology. Oxford: Radcliffe Medical Press, 1990.

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Ashton, Richard. Differential diagnosis in dermatology. Oxford: Radcliffe Medical, 1990.

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W, Way Lawrence, and Doherty Gerard M, eds. Current surgical diagnosis & treatment. New York: Lang/McGraw-Hill, 2006.

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Diagnosis. Cheras, Selangor: Dubook Press & Publication, 2014.

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Book chapters on the topic "Diagnosis"

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Tidman, Michael J., and Robin A. J. Eady. "Diagnosis and diagnostic techniques." In Management of Blistering Diseases, 163–72. Boston, MA: Springer US, 1990. http://dx.doi.org/10.1007/978-1-4899-7190-6_12.

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Petitjean, Sylvie. "Diagnostic Issues in Dual Diagnosis Patients." In Dual Diagnosis, 105–14. Basel: KARGER, 2005. http://dx.doi.org/10.1159/000085912.

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Yoshio, Taku, and Hiroshi Okamoto. "Diagnosis and Differential Diagnosis." In Neuropsychiatric Systemic Lupus Erythematosus, 93–112. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76496-2_7.

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Sun, Xuguang. "Diagnosis and Differential Diagnosis." In Acanthamoeba Keratitis, 53–65. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-5212-5_5.

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Aydin, Ali Ekrem, and Mehmet Refik Mas. "Diagnosis and Differential Diagnosis." In Orthostatic Hypotension in Older Adults, 35–43. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62493-4_5.

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Lee, Sang-Min. "Diagnosis and Differential Diagnosis." In A Strategic Approach to Knee Arthritis Treatment, 111–21. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-4217-3_7.

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Rosenblatt, Alberto, Homero Gustavo de Campos Guidi, and Walter Belda. "Diagnosis." In Male Genital Lesions, 23–42. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29017-6_2.

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Yin, X. Y. "Diagnosis." In Hilar Cholangiocarcinoma, 91–98. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-6473-6_8.

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Heemskerk, Dorothee, Maxine Caws, Ben Marais, and Jeremy Farrar. "Diagnosis." In SpringerBriefs in Public Health, 27–37. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19132-4_4.

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Hughes, Graham, and Shirish Sangle. "Diagnosis." In Hughes Syndrome: The Antiphospholipid Syndrome, 75–77. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-739-6_20.

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Conference papers on the topic "Diagnosis"

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Ignatiev, Alexey, Antonio Morgado, Georg Weissenbacher, and Joao Marques-Silva. "Model-Based Diagnosis with Multiple Observations." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/155.

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Existing automated testing frameworks require multiple observations to be jointly diagnosed with the purpose of identifying common fault locations. This is the case for example with continuous integration tools. This paper shows that existing solutions fail to compute the set of minimal diagnoses, and as a result run times can increase by orders of magnitude. The paper proposes not only solutions to correct existing algorithms, but also conditions for improving their run times. Nevertheless, the diagnosis of multiple observations raises a number of important computational challenges, which even the corrected algorithms are often unable to cope with. As a result, the paper devises a novel algorithm for diagnosing multiple observations, which is shown to enable significant performance improvements in practice.
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Turner, Cameron J. "Diagnosis via NURBs Metamodel." In ASME 2010 International Mechanical Engineering Congress and Exposition. ASMEDC, 2010. http://dx.doi.org/10.1115/imece2010-38323.

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In vivo tissue condition diagnosis is a challenging engineering problem. The goal is to develop a technology that can eliminate tissue removal and external examination and enable less invasive surgical techniques to be used with a precision provided by a knowledge of the tissue within the body. Particularly challenging is the task of automating the diagnosis of the tissue condition. In this work, a metamodeling technique based on Non-Uniform Rational B-splines is used to analyze and automate the diagnosis of human tissue conditions. The resulting diagnoses are compared to results from medical doctors and the challenges in such data analysis are discussed. The technique has implications for both biomedical and electromechical system fault diagnosis and diagnostics.
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Yu, Rui, Xianling Li, Mo Tao, and Zhiwu Ke. "Fault Diagnosis of Feedwater Pump in Nuclear Power Plants Using Parameter-Optimized Support Vector Machine." In 2016 24th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/icone24-60334.

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The condition monitoring of the feedwater pump in secondary circuit is critical to the safe operation of the nuclear power plant. This article presents a fault diagnosis method of feedwater pump by using parameter-optimized support vector machine (SVM). While the fault features of feedwater pump are reflected from the power spectrum of the vibration signals, we trained and diagnosed the fault feature table with support vector machine. The optimal penalty factor C and kernel parameter γ of support vector machine are selected by grid search and k-fold cross validation. Then the faults are diagnosed by the SVM model under the optimal parameters. Diagnostic results show that the parameter-optimized SVM method achieves higher diagnostic accuracy than the PNN method, exhibiting superior performance to effectively diagnose the faults of feedwater pump.
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Loboda, Igor, Sergey Yepifanov, and Yakov Feldshteyn. "An Integrated Approach to Gas Turbine Monitoring and Diagnostics." In ASME Turbo Expo 2008: Power for Land, Sea, and Air. ASMEDC, 2008. http://dx.doi.org/10.1115/gt2008-51449.

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This paper presents an investigation of a conventional gas turbine diagnostic process and its generalization. A usual sequence of diagnostic actions consists of two stages: monitoring (fault detection) and subsequent proper diagnosis (fault identification). Such an approach neither implies fault identification nor uses the information about incipient faults unless the engine is recognized as faulty. In previous investigations for engine steady state operation conditions we addressed diagnostics problems without their relation with the monitoring process. Fault classes were given by samples of patterns generated by a static gas turbine performance model. This fault simulation took into account faults of varying severity including incipient ones. A diagnostic algorithm employed artificial neural networks to identify an actual fault. In the present paper we consider the monitoring and diagnosis as joint processes extending our previous approach over both of them. It is proposed to form two classes for the monitoring using the above-mentioned classes constructed for the diagnosis. A two-shaft industrial gas turbine has been chosen to test the proposed integrated approach to monitoring and diagnosis. A general recommendation following from the presented investigation is to identify faults simultaneously with fault detection. This permits accumulating preliminary diagnoses before the engine faulty condition is detected and a rapid final diagnosis after the fault detection.
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Jiang, Hao, Xinyu Ren, and Xiaojian Fang. "Aeroengine Multi-Fault Diagnosis Based on Hierarchical Multi-mode Filtering." In GPPS Xi'an21. GPPS, 2022. http://dx.doi.org/10.33737/gpps21-tc-136.

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Carry out model-based online fault diagnosis for aero-engine sensors, actuators and components. Traditional methods use a set of filters to estimate the current state of the engine, and then process the estimated residuals of each filter to obtain the diagnosis result. For single engine faults, this method has a good diagnostic effect, but when double engine faults are considered, the amount of calculation will greatly increase, and the accuracy and real-time performance of fault diagnosis cannot meet the requirements. In this regard, this paper proposes a fault diagnosis algorithm based on hierarchical multi-mode filtering, which combines the advantages of hybrid Kalman filtering and multi-mode adaptive filtering algorithms, and uses a hierarchical diagnosis architecture for fault diagnosis. First, establish a hybrid Kalman filter bank of sensors, actuators and components, and then layer them. The first layer diagnoses the normal state of the engine and single fault conditions, and the second layer diagnoses the double fault conditions on the basis of the first layer fault diagnosis, and finally outputs the diagnosis results comprehensively. This method can meet the real-time and accuracy requirements for single and double fault diagnosis of the engine.
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Machado, José, Nicolás Lori, Ana Cecilia Coimbra, Filipe Miranda, and António Abelha. "Medical Diagnosis Classification Using WEKA." In Human Interaction and Emerging Technologies (IHIET-AI 2022) Artificial Intelligence and Future Applications. AHFE International, 2022. http://dx.doi.org/10.54941/ahfe100880.

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The use of data mining techniques is not new—commonly it is used in various other industries, such as financial services, marketing and manufacturing. The main goal of data mining is to find patterns in a large dataset that yield insight and expertise. Thus, in terms of healthcare, data mining methods have a wide range of uses, including diagnosing cancers, pattern recognition and prognosticating patient health outcomes. Each patient's diagnosis at the University of Porto Hospital (Centro Hospitalar Universitário Universitário do Porto) has an ICD-10-CM code. This data can be used to build a predictive model to classify diagnosis using secondary diagnosis. Three datasets were then created to be tested using data mining techniques. As a result, the algorithm that had the best performance was the Random Tree (99.8% corrected classified instances) using the third dataset with the five main diagnoses of each patient as parameters.
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Gomes, Victor Hugo de Souza Silva, Klesia Adaynny Rodrigues, Isadora Soares Constantini de Andrade, Beatriz Fulador, Bianca Barbosa Araldi, Bruno Ludvig Vieira Schaeffler, and Heloise Helena Siqueira. "Use of free genetic screening methods in neurology outpatients in cuiaba: advantages and interpretation difficulties." In XIV Congresso Paulista de Neurologia. Zeppelini Editorial e Comunicação, 2023. http://dx.doi.org/10.5327/1516-3180.141s1.368.

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Introduction: Medical genetics is increasingly gaining in modern medicine, through panels that enable the screening and diagnosis of rare diseases, becoming an effective ally in determination of some pathologies. In 2021, Invitae provided of medical outpatient clinics with kits for collecting genetic material in order to assist the specialist in diagnosing unusual and difficult-to-recognize conditions. In Cuiabá, the residency in Neurology was chosen to host the use of these methods. Objectives and methods: List the genetic tests collected through oral swabs and quantify the diagnoses made, in addition to the difficulty in determining them due to the technical language used. Results: In 12 months, 61 samples were collected, however, only 50 were analyzed. 11 tests were excluded. The analysis identified 30 male, representing 60% of panels, the average age of total sample was 33.64 years (SD). Received results from 20 samples with negative results in search for pathogenic alleles, while 22 showed only uncertain variants, not being conclusive for any diagnosis, just implying reproductive risk. Total of exams analyzed, 8 samples (16%) were positive for pathogenic variants, confirming the diagnosis of rare diseases and enabling appropriate therapeutic measures, initiation of supportive therapies and familiar guidance. Through this method, two patients were diagnosed with Spinal Muscular Atrophy type III, 1 with Wilson’s disease and two others with Niemann-Pick disease type C. Conclusion: Project ended in mid-2022, with the completion of free access to diagnoses. We emphasize that in many cases, access to genetic panel was extremely relevant, helped in the diagnostic direction, making it possible to start therapies for some patients with potentially treatable diseases. However, we encountered some difficulties, mainly in the interpretation of results provided by laboratory, due to extremely technical language and the large amount of information grouped in text. Conclud that medical genetics is extremely important in assisting medicals in diagnosis of rare diseases. However, there is a need for greater access to geneticists as well as genetic tests available in Brazilian Unified Health System.
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Loboda, Igor, Yakov Feldshteyn, and Sergiy Yepifanov. "Gas Turbine Diagnostics Under Variable Operating Conditions." In ASME Turbo Expo 2007: Power for Land, Sea, and Air. ASMEDC, 2007. http://dx.doi.org/10.1115/gt2007-28085.

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Operating conditions (control variables and ambient conditions) of gas turbine plants and engines vary considerably. The fact that health monitoring has to be uninterrupted creates the need for a run time diagnostic system to operate under any conditions. The diagnostic technique described in this paper utilizes the thermodynamic models in order to simulate gaspath faults and uses neural networks for the faults localization. This technique is repeatedly executed and the diagnoses are registered. On the basis of these diagnoses and beforehand known faults, the correct diagnosis probabilities are then calculated. The present paper analyses the influence of the operating conditions on a diagnostic process. In the technique, different options are simulated of a diagnostic treatment of the measured values obtained under variable operating conditions. The mentioned above probabilities help to compare these options. The main focus of the paper is on the so called multipoint (multimode) diagnosis that groups the data from different operating points (modes) to set only a single diagnosis.
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Queiroz, Andrei Alves de, Gustavo Machado Badan, Marilucia Batina Fernandes Moreira, and Amanda Neves Machado. "IMPACT OF COVID-19 ON BREAST CANCER TUMOR SIZE AT DIAGNOSIS." In Scientifc papers of XXIII Brazilian Breast Congress - 2021. Mastology, 2021. http://dx.doi.org/10.29289/259453942021v31s1006.

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Introduction: In 2020, COVID-19 affected the whole world, determining a pandemic situation, with recommendations for social isolation and lockdown. In the state of São Paulo, the shutdown of non-essential services was determined on March 22, 2020. Medical appointments and routine imaging exams were postponedand little is known about the impact on screening delay and the diagnosis of neoplasms. Considering that survival and cure of breast cancer are directly related to an early diagnosis, the size of these malignant tumors can be used in researching the delay in breast cancer diagnoses. Objectives: To evaluate the impact of the pandemic on the size of breast cancer in histological diagnosis, as well as on the number of diagnostic procedures performed at our hospital. Methods: Through a retrospective, analytical and crosssectional study, we analyzed data regarding tumors with histological results of malignancy of core needle breast biopsies guided by ultrasound performed at a private hospital in São Paulo between January 1, 2019 and December 31, 2020. The mean tumor sizes were compared to identify differences between prepandemic and pandemic periods. The prepandemic period (PRE) was established between January 1, 2019 and March 31, 2020, and the pandemic period (PAN) was considered from April 1 to December 31, 2020. Based on the sample size, this study has the power of 80% to detect a variation of 1 cm in the mean tumor size. Results: A total of 493 core needle biopsies were identified in 443 patients. A total of 103 (20.1%) biopsies in 94 patients were malignant. In the PAN group, 36 cases of cancer were diagnosed (4 cases/month), while the PRE group diagnosed 67 cases (4.5 cases/month). The mean size of PRE tumors was 1.66 cm, while in PAN tumors it was 2.21, showing a difference of 0.55 cm without statistical significance (95%CI 0.12–1.21; p=0.12). When considering staging (TNM – Tumor, Node, Metastases), the stages T1, T2 and T3 had no significant difference among the groups (p=0.12). The age at diagnosis of malignant lesions ranged from 30 to 82 years in the PRE period, and from 34 to 85 years in the PAN period. The mean age of patients with malignant lesions diagnosed in PAN was higher than PRE, without statistical significance (59.2 vs 56.0; p=0.30). Despite the fewer biopsies performed in both periods, (p <0.001), there was no statistical difference in the number of biopsies with malignant results (p=0.18), since there were proportionally more diagnoses of malignancy in the PAN period (28.6% vs. 18.3%; RR 1.14; 95%CI 1.01–1.29; p=0.02). Conclusions: Although the pandemic affected breast cancer screening, no statistically significant increase in the mean size of tumors has been diagnosed in this service so far.
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Tan, Daoliang, Ai He, Xiangxing Kong, and Xi Wang. "Integration of Unknown Input Observers and Classification for Turbofan Engine Diagnosis." In ASME 2011 Turbo Expo: Turbine Technical Conference and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/gt2011-46429.

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A great deal of attention has been attracted in the analytical model-based engine diagnostics over the past years. Meanwhile, an increasing number of researchers and practitioners make an attempt to gain an intelligent diagnoser in a pattern recognition way. A question naturally emerges of how to combine the two techniques to improve the robustness of an on-board diagnostic system. In this context, this paper suggests an integrated approach that combines the unknown input observer (UIO) with the support vector machine (SVM) technique to aircraft engine fault diagnosis. Sensor faults and actuator faults are separately considered. To reduce the effect of engine disturbances on diagnostic performance, we first design a bank of UIOs, each of which is sensitive to all sensor and actuator faults but only one signal. Then, the magnitudes of a set of residuals between the UIO-based estimations and the engine measurements are fed into an SVM classifier to detect and isolate engine faults. Experimental results demonstrate an encouraging potential of the suggested method and that the UIO-oriented approach is superior or competitive to the Kalman-based algorithm.
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Reports on the topic "Diagnosis"

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Miller, Kaleigh. US Guided Management of Undifferentiated Dyspneic Patient in the ED. University of Tennessee Health Science Center, March 2020. http://dx.doi.org/10.21007/com.lsp.2020.0001.

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Intro: Undifferentiated dyspnea can be a complicated presentation muddled by patient comorbidities and similar symptomology shared among etiologies. Some studies have shown increased mortality and length of stay in the hospital when incorrectly initially diagnosed in the ED. US has been shown more effective at differentiating these causes and improves diagnostic accuracy. This study will implement US exam upon initial exam of patient and chart time to diagnosis/treatment, length of stay in ED, length of stay in hospital admissions versus discharge rates, and 30 day mortality. ADHF and COPD/asthma patient differentiation will be the focus. Methods: Prospective cohort study of more than 18 years that present with the primary complaint of dyspnea with more than one complicating comorbid condition. Initial exam by physician will be accompanied by cardiothoracic US previously verified. Results: Study powered by previous year average of time to diagnosis of institution. Patient characteristics, distribution by diagnostic category, and characteristics found on US in correlation with diagnosis will be included for multivariate analysis. Conclusions: We expect to see a singificant difference in our time to diagnosis/treatment and mortality rate.
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Beshouri. PR-309-11202-R01 Field Demonstration Test of Advanced Engine and Compressor Diagnostics for CORE. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), April 2013. http://dx.doi.org/10.55274/r0010569.

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Pipeline engines fitted with modem automation and control systems serve as ideal candidates for On Board Diagnostics (OBD) and Diagnostic Monitoring (DM). OBD is very effective for real time performance monitoring, pollution prevention and safety monitoring in the engine room. Diagnostic Monitoring (DM) extends the capabilities of OBD by using extensive historical data to characterize unit specific characteristics thereby dealing with engines as individuals. The work to date has focused on the development of a methodology to support real-time multiparameter analysis and crosscheck of engine data to quickly, accurately and precisely diagnose engine faults. The methodology uses a spreadsheet interface in combination with Mean Value Engine Models and an analytic table to perform the diagnosis. Field gathered data was then used Advanced Engine Technologies Corporation (AETC) then developed a playback simulator to replay data provided by PRCI members to test the methodology and confirm the ability to automatically detect engine and compressor faults.
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Kuhl, D. E. Radiopharmaceuticals for diagnosis. Office of Scientific and Technical Information (OSTI), June 1990. http://dx.doi.org/10.2172/6178141.

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Mahmoudi, Farhad, Mahtab Mokarram, Sadegh Sabouhi, Sara Hashemi, Parastoo Saberi, and Hadi Zamanian. Application of digital health for improving medication adherence in MS patients. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, October 2021. http://dx.doi.org/10.37766/inplasy2021.10.0058.

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Review question / Objective: The aim of this study is to evaluate the efficacy of digital health interventions in monitoring and improving medication adherence in Multiple Sclerosis patients. Condition being studied: Multiple sclerosis (MS) is the most prevalent chronic inflammatory disease of the central nervous system (CNS), which leads to focal lesions in the white matter, characterized by selective primary demyelination with partial preservation of axons and reactive astrocytic gliosis. The disease is thought to be due to a complex interaction between different genetic and environmental factors. The prevalence of MS is rising all over the world, due on one hand to earlier diagnosis and prolonged survival, and on the other to a true increase in incidence of the disease. The diagnosis of MS remains clinical despite recent advances in diagnostics and relies on demonstrating dissemination in space and time while excluding alternative diagnoses.
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Corkum, Eleanor, Tiffanie Perrault, and Erin C. Strumpf. Improving Breast Cancer Diagnosis Pathways in Quebec. CIRANO, October 2023. http://dx.doi.org/10.54932/qsho2261.

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Delays in breast cancer diagnosis can worsen the severity of illness and reinforce inequalities. This report analyzes Quebec’s capabilities and performance along the diagnosis pathway, gathering information from the scientific literature on cancer care, government reports, and expert interviews. The first section outlines which types of breast cancer data Quebec collects, and how data availability impacts the measurement of performance indicators. The second section discusses how socio-economic factors and unclear guidelines for patients outside Quebec’s organized screening program create barriers to diagnosis. We also explore how Quebec’s lack of standardized and integrated care and its outdated cancer registry can create further delays and inefficiencies. The final section of the report compares innovations in breast cancer diagnosis in Quebec to those in Alberta and Ontario, where diagnostic delays are shorter. This comparison suggests that Quebec should include high-risk individuals in its screening program, create personalized screening recommendations, update available imaging and genetic testing technologies, and modernize communication methods. Relevant research and initiatives seeking to increase screening adherence among groups with low screening rates are also discussed. Overall, this paper highlights tangible strategies to shorten and streamline the breast cancer diagnosis interval, and points the reader to key resources for further investigation.
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A. Hadad, Majd, Mohammad S. Mallick, Alam A. Shafi, and Abdullah Badughaish. Cervical Thymic Cyst: A Unique Case Report with Related Embryogenesis. Science Repository, January 2023. http://dx.doi.org/10.31487/j.jscr.2022.02.05.

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Cystic lesions of neck containing thymic tissue are rare and usually difficult to diagnose. Postulated hypothesis for this entity is the persistence and/or degeneration of thymopharyngeal duct derived from pharyngeal pouch endoderm. We report a unique case of persistent thymopharyngeal duct which was diagnosed antenatally at 30 weeks’ gestation, and it preserved its connection with the pharynx. Postnatal radiological studies were non-specific and misleading, and diagnosis was confirmed by histological examination of the excised specimen.
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Graham, Bryan P. Multiple Fault Diagnosis System. Fort Belvoir, VA: Defense Technical Information Center, June 1988. http://dx.doi.org/10.21236/ada200406.

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Egorova, O. N., B. S. Belov, S. G. Radenska-Lopovok, and E. G. Sagina. PANNICULITIS: ISSUES OF DIAGNOSIS. Планета, 2018. http://dx.doi.org/10.18411/978-5-907109-24-7-2018-xxxv-169-174.

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Becker, Emily. Spondyloarthropathies: Diagnosis and Treatment. Ames (Iowa): Iowa State University, December 2023. http://dx.doi.org/10.31274/cc-20240624-1323.

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WANG, MIN, Sheng Chen, Changqing Zhong, Tao Zhang, Yongxing Xu, Hongyuan Guo, Xiaoying Wang, Shuai Zhang, Yan Chen, and Lianyong Li. Diagnosis using artificial intelligence based on the endocytoscopic observation of the gastrointestinal tumours: a systematic review and meta-analysis. InPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, February 2023. http://dx.doi.org/10.37766/inplasy2023.2.0096.

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Review question / Objective: With the development of endoscopic techniques, several diagnostic endoscopy methods are available for the diagnosis of malignant lesions, including magnified pigmented endoscopy and narrow band imaging (NBI).The main goal of endoscopy is to achieve the real-time diagnostic evaluation of the tissue, allowing an accurate assessment comparable to histopathological diagnosis based on structural and cellular heterogeneity to significantly improve the diagnostic rate for cancerous tissues. Endocytoscopy (ECS) is based on ultrahigh magnification endoscopy and has been applied to endoscopy to achieve microscopic observation of gastrointestinal (GI) cells through tissue staining, thus allowing the differentiation of cancerous and noncancerous tissues in real time.To date, ECS observation has been applied to the diagnosis of oesophageal, gastric and colorectal tumours and has shown high sensitivity and specificity.Despite the highly accurate diagnostic capability of this method, the interpretation of the results is highly dependent on the operator's skill level, and it is difficult to train all endoscopists to master all methods quickly. Artificial intelligence (AI)-assisted diagnostic systems have been widely recognized for their high sensitivity and specificity in the diagnosis of GI tumours under general endoscopy. Few studies have explored on ECS for endoscopic tumour identification, and even fewer have explored ECS-based AI in the endoscopic identification of GI tumours, all of which have reached different conclusions. Therefore, we aimed to investigate the value of ECS-based AI in detecting GI tumour to provide evidence for its clinical application.
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