Objective Accurate and rapid phenotyping is a prerequisite to leveraging electronic health
records for biomedical research. While early phenotyping relied on rule-based algorithms …

Transfer learning is crucial for training models that generalize to unlabeled target
populations using labeled source data, especially in real-world studies where label scarcity …

Objectives Automated phenotyping algorithms can reduce development time and operator
dependence compared to manually developed algorithms. One such approach, PheNorm …

Surrogate variables in electronic health records (EHR) and biobank data play an important
role in biomedical studies due to the scarcity or absence of chart-reviewed gold standard …

A growing body of evidence generated from observational data has demonstrated the
potential to influence decision-making and improve patient outcomes. For observational …

This dissertation advances the field of modern statistical theory and methodology by
focusing on two primary areas: first, the quantification of uncertainty beyond mere estimation …

In a 2015 JAMIA article, Friedman et al, reporting on the proceedings of a National Science
Foundation workshop, called for a “science of learning systems” for healthcare. 1 Other …