Abstract: An integrated and holistic system that delivers clinical decision support, disorder prevention, and research services for chronic disorders is provided. In one embodiment, the system collects a variety of data about an individual including data from one or more of wearable motion sensors, self-reported questionnaires, medical imaging, and electronic medical records. A historical database of outcomes and similar data for other individuals is processed using advanced statistics, artificial intelligence, and machine learning to identify biomarkers and phenotypes that are indicative of outcomes with respect to zero or more interventions. The collected individual's data is then analyzed with respect to the identified biomarkers or phenotypes to predict outcomes with respect to zero or more interventions for the individual. The individual, and/or an associated agent, may then consider the predicted outcomes when selecting an intervention plan for the individual and monitor intervention impact over time.