Neonatal Risk Modeling and Prediction
We propose an automated risk prediction system that can make recommendations to clinicians in real-time with machine learning classifiers that predict the risk of developing neurological impairment.
Multimodal Time-Series Activity Forecasting for Adaptive Lifestyle Intervention Design
We focus on devising algorithms that combine data about physical activity and engagement with the app to predict future physical activity performance.
Designing Deep Neural Networks Robust to Sensor Failure in Mobile Health Environments
We propose an algorithm that can reconstruct the missing input data for unavailable sensors.