Patent ID: 11908585
Assignee: ORANGEDOT, INC.
Field: Medical technology (Instruments)
Classification: CPC G | IPC G

Claim 0:
1. A method for improving depression state determination and monitoring for a user, the method comprising:
receiving a first communication dataset from an application executing on a mobile communication device of the user, wherein the first communication dataset comprises a first set of message transcripts associated with a first time period;
with a first model, deriving a first textual content associated with the first set of message transcripts;
with a second model, wherein the second model comprises a trained predictive model, determining a first set of depression risk parameters associated with the user based on the first textual content;
assessing the first set of depression risk parameters to determine a first depression risk state associated with the user;
in response to and based on the first depression risk state, determining and initiating provision of a first therapeutic intervention at the mobile communication device, the first therapeutic intervention operable to improve the depression state of the user;
receiving a second communication dataset from the application, wherein the second communication dataset comprises a second set of message transcripts associated with a second time period, the second time period occurring later in time than the first time period;
with the first model, deriving a second textual content associated with the second set of message transcripts;
with the second model, determining a second depression risk state associated with the user based on the second textual content;
in response to the second depression risk state and based on a change from the first depression risk state to the second depression risk state, determining and initiating provision of a second therapeutic intervention at the mobile communication device, the second therapeutic intervention operable to improve the depression state of the user;
updating the second model based on the change from the first depression risk state to the second depression risk state, wherein updating the second model is operable to increase a predictive accuracy of the second model for the user; and
with the updated second model, determining a third depression risk state associated with the user based on a third textual content.