Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 36 for “"risk prediction model"”.
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A NOVEL MULTI-ETHNIC STROKE RISK PREDICTION MODEL
Stroke risk prediction modeling allows for the identification of individuals who are at heightened stroke risk, which is an important first step in targeted preventive measures. Current stroke risk models are not fully generalizable to multi-ethnic populations because the most widely used one is …
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Development and validation of risk prediction model for colorectal cancer in patients with gastrointestinal symptoms
… Early diagnosis could be enhanced through risk prediction models. Prediction model research includes model development (the multivariable prediction model selects influential predictor variables and estimates regression coefficients), validation (internal validation; external validation), …
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USING A RISK PREDICTION MODEL WITH FIRST-YEAR COLLEGE STUDENTS: EARLY INTERVENTION TO SUPPORT ACADEMIC ACHIEVEMENT
… of the study were to: a) validate the use of a prediction model to establish a system of early identification of first-semester college students who are at-risk of academic difficulty, and b) examine the efficacy of an intervention designed to support these students. Using first-semester GPA as …
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The development and application of a risk prediction model for dental caries in primary schoolchildren in Flanders
… ontwikkeling en toepassing van een cariës risico model bij lagere schoolkinderen in Vlaanderen’ wordt mondgezondheidszorg gekaderd in een streven naar algemeen welzijn. Het begrip ‘gezondheid’ wordt gezien in zijn ‘holistische’ betekenis, namelijk een toestand van een totaal welzijn, zowel op …
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Development and internal validation of a risk prediction model for high-risk adenomas among average risk colorectal cancer screening participants
Background: High-risk adenomas (HRAs) are precursors to colorectal cancer (CRC), and removing them during colonoscopy can halt progression to CRC. The aim of this study was to develop a risk prediction model for HRAs detected at screening colonoscopy based on readily available patient information. …
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Evaluation of the PLCOM2012 Risk Prediction Model and National Lung Screening Trial Criteria for Selecting Individuals for Lung Cancer Screening
… mortality. There has been a growing interest in risk prediction modelling for selecting high-risk individuals for LC screening. Increased risk for developing LC is however associated with greater risk of dying from non-LC (competing) causes; the presence of coexisting illnesses may negate the net …
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Risk prediction models for hip fracture: parametric versus Cox regression
… due to high morbidity, mortality and cost. Risk prediction models can aid clinical decision-making by identifying individuals at risk. Objective: To build risk prediction model for incident hip fracture using Weibull regression and compare this with Cox regression model. Method: The Study of …
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Best care practices in anesthesiology : development and evaluation of an electronic feedback system to improve physician compliance with evidence-based practices
… Although best practice guidelines exist, current models to risk stratify patients need improvement. Individual anesthesiologists currently have no uniform way to measure patient outcomes, either in an institutional or provider specific manner, and many treat patients based on anecdotal experience …
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A Comprehensive Genetic Risk Model for the Prediction of Future Prostate Cancer
The only established prostate cancer (PCa) risk factors are age, ethnic ancestry and family history. Several PCa genetic susceptibility variants have been identified, including rare moderate-to-high risk pathogenic variants (PVs) and common low-risk variants which jointly explain 40% of the excess …
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Development of a Risk Prediction Tool for Emergency Laparotomy
Aim: This thesis aims to develop a risk prediction tool for emergency laparotomy surgery based on easily obtainable preoperative variables that predict useful outcomes for clinicians and patients. Methods: A systematic review was used to establish individual risk factors for emergency laparotomy. …
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Associations Between Personal Cancer History and Lung Cancer Risk
… to personal cancer history and lung cancer risk as well as assess their predictive utility. Characteristics of interest included the number, anatomical site(s), and age of onset of previous cancer(s). Data from the Prostate, Lung, Colorectal and Ovarian Screening (PLCO) Cancer Screening …
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Safety Culture: An Assessment of a Collegiate Aviation Program
… have an effect on perceptions on safety culture. Risky personal attitudes of respondents that could influences safety behaviors were correlated with their perception on the safety culture and a safety risk prediction model was proposed.
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Cardiovascular disease risk prediction models: does one-score-fit-all?
… and severe COVID-19 are particularly at elevated risk of developing CVD, highlighting the need for precise and equitable risk prediction tools. The changing landscape of CVD, partly due to the COVID-19 pandemic disrupting patterns of CVD incidence and care delivery, and partly due to the rising …
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Characterizing and Predicting Tasks at Risk in Team Task Management
… big teams. Accordingly, tasks could become at risk and eventually not be completed on time, leading to personal or team losses in many situations. To support task-doers in completing their tasks, we conducted a mixed-methods study focusing on Microsoft Planner—a collaborative project management …
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Improving Lung Cancer Risk Prediction: Integration of Novel Predictors and Modelling Using Machine Learning Random Forest versus the Validated PLCOm2012 Logistic Regression Model
… goal of this study was to develop a superior LC risk prediction model compared to the current established Prostate, Lung, Colorectal, Ovarian Cancer Screening Trial 2012 model (PLCOm2012) for selection of high-risk individuals for LC screening. Development of the risk models was done using data …
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Imaging Based Models to Improve Lung Cancer Diagnosis
… (CT) scans, as well as accurately estimate the risk of future lung cancer, all while factoring in the importance of model explainability in clinical settings. Recent advances in deep learning have led to increased applications of machine learning to medical imaging. In this work, we seek to …
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Communicating violence risk: judicial decision making in involuntary civil commitments
… the 1990s, researchers in the field of violence risk assessment recognized that even the most accurate and valid risk assessment could not assist fact-finders if violence risk was not communicated in a clear, precise, and complete manner (Monahan & Steadman, 1996; Schopp, 1996). Due to this …
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Clinical Prediction of Perinatal Arterial Ischemic Stroke
… understood. Many pregnancy, delivery, and fetal risk factors have been considered, but targeted treatment and prevention efforts are still not possible. This thesis reviewed perinatal stroke and developed a diagnostic risk prediction model for PAIS. Pathophysiology, strategies for diagnosis, …
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Can we predict when to start renal replacement therapy in chronic kidney disease patient by using 6 months clinical data?
… The purpose of this study was to develop a model of Chronic Kidney Disease (CKD) progression for predicting the probability and time to progression from various CKD stage to renal replacement therapy (RRT), using 6 months clinical data variables routinely measured in healthcare centers. …
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