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Thèses sur le sujet « Medical Prediction »

Auteur : Grafiati

Publié le 29 mars 2025

Mis à jour le 31 juillet 2025

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1

Shadabi, Fariba, and N/A. "Medical Outcome Prediction: A Hybrid Artificial Neural Networks Approach." University of Canberra. Information Sciences & Engineering, 2007. http://erl.canberra.edu.au./public/adt-AUC20070816.130444.

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This thesis advances the understanding of the application of artificial neural networks ensemble to clinical data by addressing the following fundamental question: What is the potentiality of an ensemble of neural networks models as a filter and classifier in a complex clinical situation? A novel neural networks ensemble classification model called Rules and Information Driven by Consistency in Artificial Neural Networks Ensemble (RIDCANNE) is developed for the purpose of prediction of medical outcomes or events, such as kidney transplants. The proposed classification model is based on combina

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Shadabi, Fariba. "Medical outcome prediction : a hybrid artificial neural networks approach /." Canberra, 2007. http://erl.canberra.edu.au/public/adt-AUC20070816.130444/index.html.

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Thesis (PhD) -- University of Canberra, 2007.<br>Thesis submitted in fulfilment of the requirements of the Degree of Doctor of Philosophy in Information Sciences and Engineering, University of Canberra, January 2007. Bibliography: leaves 110-127.

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Kyei-Blankson, Lydia S. "Predictive Validity, Differential Validity, and Differential Prediction of the Subtests of the Medical College Admission Test." Ohio University / OhioLINK, 2005. http://www.ohiolink.edu/etd/view.cgi?ohiou1125524238.

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Sultan, Ahmad Hasane. "Prediction of medical technologists' scores on the MT (ASCP) certification examinations." Diss., This resource online, 1992. http://scholar.lib.vt.edu/theses/available/etd-07282008-134142/.

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Meng, Mingyuan. "Deep Learning for Medical Image Registration and Radiomics-based Survival Prediction." Thesis, The University of Sydney, 2021. https://hdl.handle.net/2123/25391.

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With the importance of medical images for disease diagnosis and prognosis becoming widely recognized, medical image analysis has drawn much attention among researchers and clinicians. The goal of medical image analysis is to identify diagnostic and prognostic information from medical images and to establish diagnosis/prognosis models for assisting in clinical decision making and personalized treatments. Deep learning-based methods have achieved great success in computer vision research. This success is mainly attributed to its outstanding ability to learn high-level pattern representations fro

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Söderlund, Anne. "Physiotherapy Management, Coping and Outcome Prediction in Whiplash Associated Disorders (WAD)." Doctoral thesis, Uppsala University, Department of Public Health and Caring Sciences, 2001. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-601.

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<p>The aims of the present thesis were to evaluate the management of acute WAD and to develop, describe and evaluate a cognitive behavioural approach for the physiotherapy management of long-term WAD as well as to study the predictors and mediating factors for long-term disability and pain after a whiplash injury. </p><p>Two approaches for acute and chronic WAD were evaluated in experimental studies. Fifty-nine patients with acute whiplash injury (study I) and 33 patients with chronic WAD (study V), were randomised into experimental and control groups. In addition, three chronic WAD patients p

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Halvarsson, Klara. "Dieting and eating attitudes in girls : Development and prediction." Doctoral thesis, Uppsala University, Department of Public Health and Caring Sciences, 2000. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-538.

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<p>The aims of the present thesis were to study: 1. reported eating attitudes, dieting behavior and body image over a 1-year period among preadolescent girls (age 7-8); 2. differences in eating attitudes and coping between groups of teenage girls differing in dieting frequency, and to assess changes with increasing age (age 13-17); and 3. to what extent eating attitudes, self-esteem and coping predict disturbed eating attitudes. A final aim was to explore differences in the reported wish to be thinner, dieting, and eating attitudes between two age-matched cohorts of girls in 1995 and 1999 (7-1

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So, Hon-cheong, and 蘇漢昌. "Genetic architecture and risk prediction of complex diseases." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2010. http://hub.hku.hk/bib/B4452805X.

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Braithwaite, Emma Annette. "Neural networks for medical condition prediction : an investigation of neonatal respiratory disorder." Thesis, University of Edinburgh, 1998. http://hdl.handle.net/1842/12658.

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This thesis investigates how various signal processing techniques can be applied to diagnose problems in the medical domain. In particular it concentrates on breathing problems often experienced by premature babies who undergo artificial respiration. Medical Decision Support is an area of increasing research interest. The neonatal intensive care unit (NICU) is a prime example. This thesis describes the investigation of techniques to be used as the core of a decision support device in Edinburgh's NICU. At present physiological signals are taken from the patient and archived, little diagnostic u

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Arens, Fanelo James. "The Altman corporation failure prediction model : applied among South African medical schemes." Master's thesis, University of Cape Town, 2014. http://hdl.handle.net/11427/13084.

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Includes bibliographical references.<br>This study has a number of interrelated objectives that seek to understand and contextualize the Altman bankruptcy prediction model in the setting of the South African medical schemes over a ten year period (2002 to 2011). The main objective of this study is to validate the Altman Z₂ model amongst the medical schemes in South Africa; in terms of accurately classifying Z₂-scores of ≤ 1.23 and ≥ 2.9 into the a priori groups of failed and non-failed schemes. The average classification rates in the period 2002 to 2011 are as follows:

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Cao, Feng. "Classification, detection and prediction of adverse and anomalous events in medical robots." Case Western Reserve University School of Graduate Studies / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=case1339166738.

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Postovskaya, Anna. "Rule-based machine learning for prediction of Macaca mulatta SIV-vaccination outcome using transcriptome profiles." Thesis, Uppsala universitet, Institutionen för farmaceutisk biovetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-440182.

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One of the reasons, why the development of an effective HIV vaccine remains challenging, is the lack of understanding of potential vaccination-induced protection mechanisms. In the present study, Rhesus Macaques (Macaca mulatta) gene expression profiles obtained during vaccination with promising candidate vaccines against Simian Immunodeficiency Virus (SIV) were processed with a rule-based supervised machine learning approach to analyze the effects of vaccine combination treatment. The findings from constructed rule-based classifiers suggest that the immune response against SIV builds up throu

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Price, Megan Rae. "Differential Prediction of Medical School Selection Factors for Rural and Non-Rural Populations." Thesis, Virginia Tech, 2008. http://hdl.handle.net/10919/42384.

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Differential predictive validity in assessing academic performance in institutions of higher education has been assessed for a number of years. Historically, this body of research focused on gender and ethnicity. This study extends that research to geographic region (e.g., rural and non-rural populations). Specifically, this study predicted relationships between preadmission variables of incoming grade point average (GPA) and medical college admissions test (MCAT) and output variables of medical school GPA and comprehensive osteopathic medical licensing exam (COMLEX). Results indicate incoming

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Emilsson, Linnea, and Yevgen Tarasov. "Minimizing the Number of Electrodes for Epileptic Seizures Prediction." Thesis, KTH, Skolan för teknik och hälsa (STH), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-213001.

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Epilepsy is a neurological disorder affecting 1-2 % of the population in the world. People diagnosed with epilepsy are put at high risk of getting injured due to the unpredictable seizures caused by the disorder. Electroencephalography (EEG) in combination with machine learning can be used for prediction of an epileptic seizure. Therefore, a portable prediction device is of great interest with high emphasis for it to be user-friendly. One way to achieve this is by minimizing the number of electrodes placed on the scalp. This study examines the number of electrodes that provide sufficient infor

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Mayaud, Louis. "Prediction of mortality in septic patients with hypotension." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:55a57418-de16-4932-8a42-af56bd380056.

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Sepsis remains the second largest killer in the Intensive Care Unit (ICU), giving rise to a significant economic burden ($17b per annum in the US, 0.3% of the gross domestic product). The aim of the work described in this thesis is to improve the estimation of severity in this population, with a view to improving the allocation of resources. A cohort of 2,143 adult patients with sepsis and hypotension was identified from the MIMIC-II database (v2.26). The implementation of state-of-the-art models confirms the superiority of the APACHE-IV model (AUC=73.3%) for mortality prediction using ICU adm

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Louise, Christa Claire. "A Bootstrapped Regression Model of Psychological Predictors of Success in Naturopathic Medical School." PDXScholar, 1994. https://pdxscholar.library.pdx.edu/open_access_etds/4846.

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In response to a need for more primary care physicians and patients' growing attraction to alternative health care, greater numbers of individuals are applying to naturopathic colleges. With increasing numbers of applicants, better methods of predicting potential effectiveness as an N.D. are needed. This study examined factors (both academic and psychosocial) that best predict success in naturopathic school. Demographic, academic, and psychosocial survey data were collected from thirty-three students who had just completed their second year of naturopathic medical school. This information was

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Johnson, Alistair E. W. "Mortality prediction and acuity assessment in critical care." Thesis, University of Oxford, 2014. https://ora.ox.ac.uk/objects/uuid:2486465e-8fda-47a9-b82e-c0a93f4f1fc4.

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Accurate mortality prediction in intensive care units (ICUs) allows for the risk adjustment of study populations, aids in patient care and provides a method for benchmarking overall hospital and ICU performance. ICU risk-adjustment models are primarily comprised of an integer severity of illness score which increases with increasing patient risk of mortality. First published in the 1980s, the improvements to these scores primarily consisted of increasing the dimensionality of the model, and hence also increasing their complexity. This thesis aims to improve upon these models. First, the field

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You, Shu-Chyng. "Validating the therapy prediction model through a breakdown analysis on ICU patient medical records." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/42122.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006.<br>Includes bibliographical references (p. 81-83).<br>With the rapid advancement of computational data analysis tools, medical informatics has emerged as a discipline that explores the use of medical information in clinical practice. It searches for ways to effectively integrate as much information as is available to physicians when they make clinical decisions and represent the information in the most intelligent way possible. As part of an overall effort to develop a program t

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Chen, Yang. "DEVELOPMENT OF COMPUTATIONAL APPROACHES FOR MEDICAL IMAGE RETRIEVAL, DISEASE GENE PREDICTION, AND DRUG DISCOVERY." Case Western Reserve University School of Graduate Studies / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=case1435601642.

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Yan, Jia. "Using Genetic Information in Risk Prediction for Alcohol Dependence." VCU Scholars Compass, 2012. http://scholarscompass.vcu.edu/etd/2878.

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Family-based and genome-wide association studies (GWAS) of alcohol dependence (AD) have reported numerous associated variants. The clinical validity of these variants for predicting AD compared to family history has not yet been reported. These studies aim to explore the aggregate impact of multiple genetic variants with small effect sizes on risk prediction in order to provide a clinical interpretation of genetic contributions to AD. Data simulations showed that given AD’s prevalence and heritability, a risk prediction model incorporating all genetic contributions would have an area under the

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Hutchings, Lynn. "Early identification and prediction of multiple organ failure following major trauma." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:bece7667-770b-4cdf-87d8-407dca80a4ee.

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Introduction: Trauma is the main cause of death in working-age adults in the UK. Multiple organ failure (MOF) is associated with a high proportion of late trauma deaths, and MOF survivors have poor long-term outcomes. Early prediction of patients at risk of MOF would assist treatment decisions and allow targeted interventions. Methods: A cohort of major trauma patients requiring intensive care unit (ICU) treatment at the John Radcliffe Hospital was identified. Data were obtained from the two national databases of the Trauma Audit Research Network and the Intensive Care National Audit and Resea

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Falodi, Abiodun. "Prediction of the biomechanical perfomance of a novel total disc replacement." Thesis, University of Nottingham, 2010. http://etheses.nottingham.ac.uk/1266/.

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The pain experience as a result of disc degeneration disease (DDD) can be debilitating. When drug administration and physiotherapy treatment fail, surgical methods are used. These involve removal of the affected intervertebral disc IVD, followed by either decompression and fusion of the adjacent vertebral bodies or replacement of the removed IVD with an implant. Fusion is seen to be the gold standard for surgical treatment of DDD, but questions have been raised about its effectiveness in the long term due to its association with the adjacent levels disc degeneration. Disc replacement has been

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Wiseman, Scott. "Bayesian learning in graphical models." Thesis, University of Kent, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.311261.

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Johansson, Birgitta. "Intensified primary health care for cancer patients : Utilisation of medical services." Doctoral thesis, Uppsala University, Department of Public Health and Caring Sciences, 2000. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-512.

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<p>The aim of the present thesis is to evaluate the effects of an Intensified Primary Health Care (IPHC) intervention on GPs' and home care nurses' possibilities to monitor and support cancer patients, and on cancer patients utilisation of medical services. A further aim is to identify determinants of cancer patients' utilisation of such services. A total of 485 patients newly diagnosed with breast, colorectal, gastric or prostate cancer were randomised to the intervention or to a control group. The follow-up period was 24 months for all patients.</p><p>Patients randomised to the IPHC were ref

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Alleman, Brandon Wesley. "Preterm birth: prediction, prevention, care." Diss., University of Iowa, 2014. https://ir.uiowa.edu/etd/4563.

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Preterm birth (PTB) is defined as birth before 37 weeks gestational age. PTB is a common outcome and one that may be increasing in prevalence with serious individual and public health implications both immediately and long term. While PTB is a pregnancy specific outcome it is more appropriately viewed as the culmination of risk factors present both before pregnancy and possibly in past generations. This thesis attempts to review the implications, risk factors and current prevention strategies directed at PTB while placing it in an intergenerational and life cycle context. Three novel investiga

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Brunty, Tom J. "The prediction of return-to-work in a chronic pain population : psychological, demographic and medical variables /." The Ohio State University, 1992. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487775034178146.

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Bou, Rjeily Carine. "Data mining and learning for markers extraction to improve the medical monitoring platforms." Thesis, Bourgogne Franche-Comté, 2019. http://www.theses.fr/2019UBFCA012.

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Selon l’Organisation mondiale de la santé, environ 31% des décès dans le monde sont causés par des maladies cardiaques chaque année. L’exploration de données est un processus d’extraction intéressant d’informations non triviales, implicites et potentiellement utiles, à partir de grands ensembles de données. L’exploration de données médicales est la science qui consiste à examiner des données médicales (signes vitaux) pour explorer des informations importantes. L’analyse et l’interprétation des données complexes dans un diagnostic thérapeutique approprié avec les bons résultats, est une tâche a

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Conic, Julijana Zoran. "Incremental Prognostic Impact of Imaging Characteristic for Comprehensive Risk Stratification in Patients with Advanced Ischemic Cardiomyopathy." Case Western Reserve University School of Graduate Studies / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=case1591016434442071.

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Hellström, Terese. "Deep-learning based prediction model for dose distributions in lung cancer patients." Thesis, Stockholms universitet, Fysikum, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-196891.

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Background To combat one of the leading causes of death worldwide, lung cancer treatment techniques and modalities are advancing, and the treatment options are becoming increasingly individualized. Modern cancer treatment includes the option for the patient to be treated with proton therapy, which can in some cases spare healthy tissue from excessive dose better than conventional photon radiotherapy. However, to assess the benefit of proton therapy compared to photon therapy, it is necessary to make both treatment plans to get information about the Tumour Control Probability (TCP) and the Norm

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Tiltu, Klintborg Anna. "BCR-ABL1A TYROSINE KINASE ASSOCIATED WITH CHRONIC MYELOID LEUKEMIA : Calculation of solvation energiesand electrostatics by APBS and prediction of 2D and 3D structureby homology protein modeling." Thesis, Umeå universitet, Institutionen för integrativ medicinsk biologi (IMB), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-182126.

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Lange, Katrin Susanne [Verfasser]. "Calving prediction and evaluation of calving ease after medical treatment in Holstein-Friesian heifers / Katrin Susanne Lange." Berlin : Freie Universität Berlin, 2020. http://d-nb.info/1221130056/34.

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Izad, Shenas Seyed Abdolmotalleb. "Predicting High-cost Patients in General Population Using Data Mining Techniques." Thèse, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/23461.

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In this research, we apply data mining techniques to a nationally-representative expenditure data from the US to predict very high-cost patients in the top 5 cost percentiles, among the general population. Samples are derived from the Medical Expenditure Panel Survey’s Household Component data for 2006-2008 including 98,175 records. After pre-processing, partitioning and balancing the data, the final MEPS dataset with 31,704 records is modeled by Decision Trees (including C5.0 and CHAID), Neural Networks. Multiple predictive models are built and their performances are analyzed using various me

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McEntyre, Wanda L. J. "Self-efficacy expectations, outcome expectations and the prediction of medication usage, pain level and work readiness /." The Ohio State University, 1985. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487260531958244.

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Smith, Amie L. "Biopsychosocial Variables Predict Compensation and Medical Costs of Radiofrequency Neurotomy in Utah Workers' Compensation Patients." DigitalCommons@USU, 2014. https://digitalcommons.usu.edu/etd/3854.

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Back pain is one of the most expensive medical conditions to treat. There has been a great deal of research showing that back pain surgery is expensive, but less is known about the costs of less-invasive spine procedures such as radiofrequency neurotomy. Radiofrequency neurotomy is used to treat facet joint pain and typically offers temporary pain relief by coagulating the affected nerve with radiofrequency waves to block pain messages from reaching the brain. This study aimed to document the costs of radiofrequency neurotomy in a group of participants who received the procedure through the Wo

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Clark, James. "A Data Mining Framework for Improving Student Outcomes on Step 1 of the United States Medical Licensing Examination." Diss., NSUWorks, 2019. https://nsuworks.nova.edu/gscis_etd/1070.

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Identifying the factors associated with medical students who fail Step 1 of the United States Medical Licensing Examination (USMLE) has been a focus of investigation for many years. Some researchers believe lower scores on the Medical Colleges Admissions Test (MCAT) are the sole factor used to identify failure. Other researchers believe lower course outcomes during the first two years of medical training are better indicators of failure. Yet, there are medical students who fail Step 1 of the USMLE who enter medical school with high MCAT scores, and conversely medical students with lower academ

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Chaganti, Vasanta Gayatri. "Wireless body area networks : accuracy of channel modelling and prediction." Phd thesis, Canberra, ACT : The Australian National University, 2014. http://hdl.handle.net/1885/150112.

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Sikkema, Kathleen J. "Psychosocial variables in the prediction of somatic complaints with applications to stress-related disorders." Thesis, Virginia Tech, 1988. http://hdl.handle.net/10919/44688.

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<p>In Study 1, 280 undergraduate students (177 female, 103 male) were administered a battery of questionnaires assessing functional somatic symptoms, psychosocial variables, and behavioral responses to health-related situations. Significant predictors of functional somatic symptoms differed for females and males. The amount of stress experienced, perceived susceptibility to illness, perceived barriers to health care and level of pain tolerance were significant predictors for males. Significant predictors for females included perceived susceptibility to illness, amount of stress experienc

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Alaskar, Haya Mohmmad. "Dynamic self-organised neural network inspired by the immune algorithm for financial time series prediction and medical data classification." Thesis, Liverpool John Moores University, 2014. http://researchonline.ljmu.ac.uk/4562/.

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Artificial neural networks have been proposed as useful tools in time series analysis in a variety of applications. They are capable of providing good solutions for a variety of problems, including classification and prediction. However, for time series analysis, it must be taken into account that the variables of data are related to the time dimension and are highly correlated. The main aim of this research work is to investigate and develop efficient dynamic neural networks in order to deal with data analysis issues. This research work proposes a novel dynamic self-organised multilayer neura

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Gilbreath, Donna Arlene. "PROJECTING THE RESULTS OF STATE SMOKING BAN INITIATIVES USING CARTOGRAPHIC ANALYSIS." UKnowledge, 2007. http://uknowledge.uky.edu/gradschool_theses/453.

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Because tobacco smoking causes 430,000 U.S. deaths annually, wide-reaching smoking bans are needed. Bans reduce cigarette consumption, encourage cessation, protect nonsmokers from second-hand smoke, and promote an attitude that smoking is undesirable. Therefore, bans may prevent future generations from suffering many smoking-related health problems. The federal government has not implemented widereaching smoking bans so it falls on individual states, counties, or communities to devise appropriate smoking policy. To date, smoking policy has been determined by legislators, who may have conflicts

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Wright, James Scott. "Academic Lineage and Student Performance in Medical School." Thesis, University of North Texas, 1999. https://digital.library.unt.edu/ark:/67531/metadc2206/.

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This research investigated the association between academic lineage and student performance in medical school. The purposes of the study were to: (1) determine whether the Carnegie classifications of medical school applicants' institutions of origin are associated with academic performance in medical school; (2) consider the relationship between the admission selectivity of the schools of origin and the academic performance of medical school students; (3) compare the performance of medical students from institutions under public governing control with students from privately controlled institu

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Blackbeard, Jill Margaret. "Reticulocyte maturation index: a prediction tool for recovery in post bone marrow and peripheral blood stem cell transplant patients." Thesis, Cape Technikon, 2002. http://hdl.handle.net/20.500.11838/1466.

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Thesis (MTech (Medical Technology))--Cape Technikon, Cape Town, 2002<br>Erythropoietic response is the first indication of bone marrow recovery following bone marrow or peripheral blood stem cell transplantation. Manual reticulocyte counting has not only proven to be outdated but an extremely crude method of analysis, particularly if accurate and reliable means of assessing erythroid response is required to assess bone marrow recovery. Automated methods allow for the quantification of maturation within each reticulocyte, by measuring the amount of RNA present. The method of choice fo

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Arochena, H. E. "Modelling and prediction of parameters affecting attendance to the NHS breast cancer screening programme." Thesis, Coventry University, 2003. http://curve.coventry.ac.uk/open/items/3d5373c6-9442-4479-77a2-c1bc37662cf5/1.

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This thesis focuses on the modelling and prediction of factors affecting attendance to screening invitations of the NHS Breast Screening Programme. The analysis is based on data collected by the Warwickshire, Solihull and Coventry Breast Screening Unit from 1989 up to 2001 with respect to invitation to screening for the prevention of breast cancer in non-symptomatic women. Using a novel approach to the analysis of the data, from the perspective of the screening episode of each woman, rather than the usual analysis from the perspective of the screening round of the units, a statistical analysis

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Viti, Mario. "Automated prediction of major adverse cardiovascular events." Electronic Thesis or Diss., université Paris-Saclay, 2022. http://www.theses.fr/2022UPASG084.

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Dans ce projet de recherche financé en contrat CIFRE avec GE Healthcare, on cherche a prédire les épisodes cardio-vasculaire adverses majeurs (ECAM), c’est à dire typiquement les embolies et les anévrismes dans l’aorte et les artères coronaires, qui donnent lieu a une respectivement à une interruption catastrophique du flux sanguin vers le coeur et donc un infarctus, ou à une hémorragie interne. Les deux types d’épisodes sont extrêmement graves. Lorsqu’un patient est hospitalisé pour une alerte reliée à ces épisodes, il va subir un examen scanner X, injecté ou non, plus ou moins invasif. Un ob

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Bergelin, Victor. "Human Activity Recognition and Behavioral Prediction using Wearable Sensors and Deep Learning." Thesis, Linköpings universitet, Matematiska institutionen, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-138064.

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When moving into a more connected world together with machines, a mutual understanding will be very important. With the increased availability in wear- able sensors, a better understanding of human needs is suggested. The Dart- mouth Research study at the Psychiatric Research Center has examined the viability of detecting and further on predicting human behaviour and complex tasks. The field of smoking detection was challenged by using the Q-sensor by Affectiva as a prototype. Further more, this study implemented a framework for future research on the basis for developing a low cost, connected

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DallaPiazza, Kristin Lee. "A Global Approach to Disease Prevention: Predicting High Risk Areas for West Nile Infection in the Us." Thesis, Virginia Tech, 2009. http://hdl.handle.net/10919/33083.

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WN virus has spread for over 60 years creating endemic and epidemic areas throughout Africa, Asia, and Europe, affecting human, bird, and equine populations. Its 1999 appearance in New York shows the ability of the virus to cross barriers and travel great distances, emerging into new territories previously free of infection. Spreading much faster than expected, WN virus has infected thousands of birds, equine, and humans throughout the conterminous United States (US). Case and serological studies performed in the Eastern hemisphere prior to 1999 offer detailed descriptions of endemic and ep

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Lines, Lisa M. "Outpatient Emergency Department Utilization: Measurement and Prediction: A Dissertation." eScholarship@UMMS, 2014. https://escholarship.umassmed.edu/gsbs_diss/710.

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Approximately half of all emergency department (ED) visits are primary-care sensitive (PCS) – meaning that they could potentially be avoided with timely, effective primary care. Reducing undesirable types of healthcare utilization (including PCS ED use) requires the ability to define, measure, and predict such use in a population. In this retrospective, observational study, we quantified ED use in 2 privately insured populations and developed ED risk prediction models. One dataset, obtained from a Massachusetts managed-care network (MCN), included data from 2009-11. The second was the MarketSc

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Lines, Lisa M. "Outpatient Emergency Department Utilization: Measurement and Prediction: A Dissertation." eScholarship@UMMS, 2004. http://escholarship.umassmed.edu/gsbs_diss/710.

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Approximately half of all emergency department (ED) visits are primary-care sensitive (PCS) – meaning that they could potentially be avoided with timely, effective primary care. Reducing undesirable types of healthcare utilization (including PCS ED use) requires the ability to define, measure, and predict such use in a population. In this retrospective, observational study, we quantified ED use in 2 privately insured populations and developed ED risk prediction models. One dataset, obtained from a Massachusetts managed-care network (MCN), included data from 2009-11. The second was the MarketSc

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Kondepudi, Karthik Chalam. "Computational prediction of enhanced solubility of poorly aqueous soluble drugs prepared by hot melt method." Scholarly Commons, 2015. https://scholarlycommons.pacific.edu/uop_etds/267.

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Solubility is the concentration of a solute in a saturated solution at a given temperature and pressure. Solubility of a drug in aqueous media is a pre-requisite to achieve desired concentration of a drug in the systemic circulation. Low aqueous solubility is a major problem encountered with formulation development of recently designed new chemical entities. Solubility of poorly soluble drugs is enhanced by physical and chemical modifications of drug. Shake flask method is the most commonly used experimental method to determine solubility. However, this method has several limitations. A single

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Lloyd, Joshua S. "Commercialization of Software for the Prediction of Structural and Optical Consequences Resulting from Corneal Corrective Treatments." Case Western Reserve University School of Graduate Studies / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=case1447778132.

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Mitchell, Barbara E. "Physical health of maltreated children shortly after entry into foster care : assessment and prediction of documented medical problems and caregiver reported health status /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2002. http://wwwlib.umi.com/cr/ucsd/fullcit?p3044789.

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