Method for modeling behavior and depression state

This invention describes a system that gathers data from a person's mobile phone, specifically their communication patterns and physical movement, along with their responses to depression surveys. It then uses this information to analyze and predict their risk of depression, issuing an alert if a certain risk level is detected. The claims narrow this to using a mobile communication device for both the log of use and motion data.

Why it matters: Filed before widespread adoption of advanced machine learning for behavioral health. Modern AI models can now more accurately process diverse sensor and communication data for predictive analysis.

Status: ExpiredProtection ended and was never renewed
How hard to build: SpecializedSoftware logic, data integration, predictive modeling

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