Abstract: What is presented is a computer-implemented method for behavioral prediction of mental health clients. A profile is created for each mental health client. The profile includes a framework for alerts to be generated. The framework comprises client specific deidentified data points, client specific weights assigned to each data point, and client specific triggering events based on each data point. Each mental health client is provided with a cell phone enabled with a GPS tracker and social media software applications. The created profile is associated with the cell phone and the social media software applications. The cell phone and the social media software applications are then monitored over time to identify data points and triggering events to generate a log of triggering events. The assigned weights are applied to each triggering event to determine whether or not an alert is generated. Historical patterns are analyzed to optimize the accuracy of future alerts.