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 models"”.
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Approaches to developing clinically useful Bayesian risk prediction models
Prediction of the presence of disease (diagnosis) or an event in the future course of disease (prognosis) becomes increasingly important in the current era of personalised medicine. Both tasks (diagnosis and prognosis) are supported using (risk) prediction models. Such models usually combine …
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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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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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Risk prediction models for binary response variables for the coronary bypass operation
… trials. This thesis focuses on setting up risk stratification algorithms. Utilizing the binary feature of the response variables, logistic regression analyses and classification trees (recursive partitioning) were used with the variables identified by the Health Data Research Institute in …
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Measures of discrimination, reclassification, and calibration for risk prediction models: an exploration in their interrelationships and practical utility and improvement in their estimation
… on the accuracy, precision, and robustness of risk prediction models. Health care providers use risk prediction models to assess a patient’s risk of developing an event during a specified time frame given the patient’s specific characteristics, and subsequently recommend a course of treatment …
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Evaluating and enhancing cardiovascular disease risk prediction with algorithmic fairness
… cause of morbidity and mortality worldwide, with risk prediction models in widespread clinical use. Yet much remains unknown about the performance of CVD risk prediction models in specific subgroups, and disparities in predictions can exacerbate health inequities. Algorithmic fairness, a research …
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Risk Prediction and Value of Polygenic Risk Scores in Colorectal Cancer Screening
Risk prediction models that are based on common genetic variants, known as Polygenic risk Score (PRS), have shown promises to guide personalized screening for colorectal cancer (CRC). Continuous efforts to improve PRS risk prediction are needed for clinical use, and understanding its added value of …
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Optimising Cardiovascular Disease Risk Assessment: Application of Dynamic Prediction Tools and Risk Stratification Strategies Using Electronic Health Records
… Identifying individuals who are at higher risk of CVD is fundamental for effectively implementing prevention strategies with limited health care resources and subsequently reducing the burden of CVD. For this purpose, numerous prognostic cardiovascular risk prediction models have been …
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Predicting cardiovascular risks using pattern recognition and data mining.
… recognition and data mining techniques into risk prediction models in the clinical domain of cardiovascular medicine. The data is modelled and classified by using a number of alternative pattern recognition and data mining techniques in both supervised and unsupervised learning methods. …
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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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Biomarkers of Cardiovascular Disease in Renal Transplant Recipients
… in renal transplant recipients. Predicting the risk of future cardiovascular events in this patient cohort is challenging due to the prevalence of non-traditional risk factors. Biomarkers of cardiovascular disease have been demonstrated to improve the accuracy of cardiovascular prediction models …
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Identifying Observational and Causal Factors for Cardiovascular Diseases through Large-scale Cohorts
… helped scientists generate new knowledge on risk factors for cardiovascular diseases. While these data sources set in motion the decline in age-adjusted cardiovascular disease seen over the last five decades, they were limited by their size in the kinds of research questions they could …
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Neurologic And Metabolic Safety Of Fluoroquinolones
… and PNS dysfunction. Cox proportional hazards models were estimated after matching. The hazard ratio associated with fluoroquinolone exposure was 1.08 (95% confidence interval [CI]: 1.05-1.11) for CNS dysfunction, and 1.09 (95% CI: 1.07-1.11) for PNS dysfunction. In Chapter 2, our outcome was …
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Myocardial injury after non-cardiac surgery: A prevalence study
… has recently been identified as an independent risk factor associated with 30-day all-cause mortality. The risk of death increases approximately 10 fold following MINS in the perioperative period. Diagnosing myocardial injury in nonsurgical patients often relies on specific symptomatology and …
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Risky Business: Recommendations For The Insurance Industry To Contribute To Greater Disaster Risk Reduction And Climate Change Adaptation
… insurance industry is susceptible to increasing risk from climate change and can serve as a catalyst to change behavior to minimize loss. The research examined the current impact and future potential of the insurance industry to reduce both physical and financial risk. The insurance industry …
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A standards-based grading model to predict students' success in a first-year engineering course
… modeling methods, it is possible to identify at-risk students early in the semester and inform both the instructors and the students. While some universities have started to use standards-based grading, which has educational advantages over common score-based grading, at–risk prediction models …
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Evaluating the Impact of Social Determinants of Health on Prediction of Clinical Outcomes in the Intensive Care Unit
… with health outcomes. Yet, a majority of the risk prediction models based on electronic health records (EHR) do not incorporate a comprehensive set of SDOH features as they are often noisy or simply unavailable. Our work links a publicly available EHR database, MIMIC-IV, to well-documented …
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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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The Association between Serum Cancer Antigen 125 (CA 125) and Risk of Lung Cancer in Females: Assessing the Possibilities for Early Detection
… role as a potential predictor for lung cancer risk. Objectives: To evaluate: i) the association between CA 125 and lung cancer; ii) if the associations differ by potential effect modifier (smoking status); and iii) if the association between CA 125 and lung cancer differs by lung cancer stage …
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Evaluating the prognostic value of risk factors contributing to cardiovascular disease and established risk score estimations
Evaluating the prognostic value of risk factors contributing to cardiovascular disease and established risk score estimations.Evaluating the Prognostic Value of Risk Factors Contributing to Cardiovascular Disease and Established Risk Score Estimations CR Yip M. Clin Pharm Mini-Thesis, School of …
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