SYSTEM AND METHOD FOR PREDICTIVE MODELING AND ADJUSTMENT OF BEHAVIORAL HEALTH

A cloud-based system and method for predictive modeling and positive adjustment of behavioral health are disclosed. The system includes sensors collecting data associated with subject location and activity, and linked to a subject computing device. The system translates data aggregated from the data sources into state information, and iteratively updates, via the translated state information, a de-identified contextual model for the subject which in an embodiment may be a Life Context Graph as described herein. An end point server compares the de-identified contextual model to a de-identified aggregate of peer-based contextual models, wherein data security and privacy is preserved, and the system further iteratively updates the subject contextual model based thereon. The system accordingly identifies behavioral trigger actions based on the collected data and/or the updated subject contextual model, and generates a predetermined clinical response corresponding to the identified behavioral trigger action.