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 3 of 3 for “"Health Data Science"”.
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Probabilistic Time-to-Event Modeling Approaches for Risk Profiling
<p>Modern health data science applications leverage abundant molecular and electronic health data, providing opportunities for machine learning to build statistical models to support clinical practice. Time-to-event analysis, also called survival analysis, stands as one of the most representative …
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Digital phenotyping through multimodal, unobtrusive sensing
… the collection of physiological and behavioural data at scale. This digital phenotyping data enables researchers to make inferences regarding users’ physical and mental health at scale, for the first time. However, translating this data into actionable insights requires computational approaches …
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Evaluating and enhancing cardiovascular disease risk prediction with algorithmic fairness
… and disparities in predictions can exacerbate health inequities. Algorithmic fairness, a research area in machine learning, provides a quantitative approach to assess and address inequities in prediction models. This thesis uses the principles of algorithmic fairness to evaluate CVD risk …