Use of Machine Learning to Predict Medication Adherence in Individuals at Risk for Atherosclerotic Cardiovascular Disease

Briefly evaluates the factors behind medication adherence of patients at risk for atherosclerotic cardiovascular disease.

Computational Framework for Sequential Diet Recommendation: Integrating Linear Optimization and Clinical Domain Knowledge

Optimizes change in consumed nutrients while driving users to their desired diet.

ADARP: A Multi Modal Dataset for Stress and Alcohol Relapse Quantification in Real Life Setting

A multi-modal dataset for stress and alcohol relapse collected in real world settings.