Cai Lab

Research focus

NIH R01 · 2024

Semi-supervised Approaches to Denoising Electronic Health Records Data for Risk Prediction

Project Summary While clinical trials remain a critical source for oncology research, their study findings may not be gener- alizable to the real world due to the restricted patient population. In recent years, due to the increasing adoption of electronic health records (EHR) and the linkage of EHR with specimen bio-repositories and other research registries, integrated large datasets now exist as a new source for translational research. These integrated datasets open opportunities for developing accurate EHR-based prediction models for disease progression and treatment response, which can be easily incorporated into clinical practice. These models can also be contrasted with models derived…

From the public funding record at NIH RePORTER. Describes the funded project, not the reviews below.