A method and system for time varying risk profiling from sensor data includes receiving data time series from a plurality of sensors associated with a single patient, identifying events from the data, wherein an event is a transition between two states in the data of a sensor, formulating event prediction as a discrete state transition task using Markov jump processes to handle irregular sampling rates, estimating a transition density function for time varying continuous event probability using a hierarchical Bayesian model, and predicting risk events for the single patient by applying the hierarchical Bayesian model.
