Publications

GlyTwin: Enhancing Digital Twin for Glucose Control in Type 1 Diabetes using Patient-Centric Counterfactual Treatments
Assessing the quality of reporting in artificial intelligence/machine learning research for cardiac amyloidosis
RealAC: A Domain-Agnostic Framework for Realistic and Actionable Counterfactual Explanations
MealMeter: Using Multimodal Sensing and Machine Learning for Automatically Estimating Nutrition Intake
LEAD: Localized Explanations with Adversarial Decision Boundary Characterization for Interpretable Disease Prediction
Cost-Effective Multitask Active Learning in Wearable Sensor Systems
GlyMan: Glycemic Management using Patient-Centric Counterfactuals
Designing User-Centric Behavioral Interventions to Prevent Dysglycemia with Novel Counterfactual Explanations
GlucoseAssist: Personalized Blood Glucose Level Predictions and Early Dysglycemia Detection
GlySim: Modeling and Simulating Glycemic Response for Behavioral Lifestyle Interventions