4 papers
Project Hermes: A Model-Agnostic Validation Layer for Wearable Health Prediction Systems
Richik Chakraborty
The deployment of wearable-based health prediction systems has accelerated rapidly, yet these systems face a fundamental challenge: they generate alerts under substantial uncertain…
Privacy-Preserving Cohort Analytics for Personalized Health Platforms: A Differentially Private Framework with Stochastic Risk Modeling
Richik Chakraborty, Lawrence Liu, Syed Hasnain
Personalized health analytics increasingly rely on population benchmarks to provide contextual insights such as ''How do I compare to others like me?'' However, cohort-based aggreg…
Progressive Bayesian Confidence Architectures for Cold-Start Personal Health Analytics: Formalizing Early Insight Through Posterior Contraction and Risk-Aware Interpretation
Richik Chakraborty
Personal health analytics systems face a persistent cold-start dilemma: users expect meaningful insights early in data collection, while conventional statistical inference requires…
Beyond P-Values: Importing Quantitative Finance's Risk and Regret Metrics for AI in Learning Health Systems
Richik Chakraborty
The increasing deployment of artificial intelligence (AI) in clinical settings challenges foundational assumptions underlying traditional frameworks of medical evidence. Classical…