Abstract: A behavioral health risk assessment service is provided to determine the behavioral health risk of a patient using personal demographic information and the patient's responses to adaptive screening questions. The screening questions are customized to the patient using machine learning techniques such as decision trees that optimize the amount of expected information gain on the behavioral health risk of the patient. A model of the patient's activity such as exercise and sleep is also generated and trained using data collected from smart devices used by the patient. Based on the determined behavioral health risk, the risk assessment service refers the patient to an appropriate provider, such as a therapist, to treat any diagnosed behavioral health conditions.

Abstract: A personalized health care provider matching service is provided to rank and select the best matched health care providers for a patient across multiple dimensions according to the patient's medical conditions, non-medical factors and treatment preferences. Each medical condition of the patient represents a dimension. The service measures a provider's level of competency for treating a medical condition, e.g., based on the provider's drug prescription patterns in treating the medical condition measured against a reference practice standard. The provider matching service ranks the providers across the multiple medical conditions/treatment needs of a patient, where the rankings of the providers represent the providers' competency across multiple dimensions. The provider matching service assesses a patient's needs across different medical conditions and applies different weights to different corresponding dimensions in ranking the providers.