Patent Document ID: 10068670
Application ID: 14839053
Patent Flag: 1

Claim One:
1. A method for improving depression state determination for an individual, the method comprising: transmitting, from a communication module executing on a mobile communication device to a computing system, a log of use dataset associated with communication behavior of the individual during a time period; at the computing system, receiving a motion supplementary dataset corresponding to a motion sensor of the mobile computing device, the motion supplementary dataset characterizing physical orientation of the mobile computing device and associated with physical activity behavior of the individual during the time period; collecting GPS data corresponding to a GPS sensor of the mobile computing device, the GPS data describing physical location of the mobile computing device and associated with location behavior of the individual during the time period; at the computing system, receiving a survey dataset including responses, to at least one of a set of depression-assessment surveys, associated with a set of time points of the time period; selecting a patient subgroup for the individual from a first subgroup and a second subgroup based on the GPS data and the motion supplementary dataset, wherein the first subgroup is selected in response to the physical location and the physical orientation of the mobile computing device indicating a first mobility behavior shared by the first subgroup, wherein the second subgroup is selected in response to the physical location and the physical orientation of the mobile computing device indicating a second mobility behavior shared by the second subgroup, and wherein selection of the patient subgroup is operable to improve data storage, data retrieval, and the depression state determination; at the computing system, generating a predictive model based on the selected patient subgroup, the survey dataset, and a passive dataset derived from the log of use dataset, the GPS data, and the motion supplementary dataset; transforming at least one of the passive dataset, the survey dataset, and the an output of the predictive model into an analysis of a depression-risk state of the individual associated with at least a portion of the time period; and upon detection that parameters of the depression-risk state satisfy a threshold condition, automatically initiating provision of a therapeutic intervention for improving a health outcome of the individual, by way of at least one of the computing system and the mobile communication device.