Toward Personalized Treatment of Chronic Diseases: The CKDCase Study

Abstract

Chronic diseases greatly influence the patients' life and incur the bulk of healthcare costs. Medical treatments should be personalized to consider individual variance. In this study, we take a first step toward personalized treatment of chronic kidney disease by formulating two prediction problems. We utilize random forest to learn the prediction models, and the preliminary results look promising.