公开(公告)号：US20250078998A1

公开(公告)日：2025-03-06

申请号：US18235422

申请日：2022-02-01

Applicant: The Trustees of Princeton University

Inventor： Shayan HASSANTABAR ,  Zhao ZHANG ,  Hongxu YIN ,  Niraj K. JHA

IPC: G16H50/20 ,  G16H40/67

Abstract: According to various embodiments, a machine-learning based system for mental health disorder identification and monitoring is disclosed. The system includes one or more processors configured to interact with a plurality of wearable medical sensors (WMSs). The processors are configured to receive physiological data from the WMSs. The processors are further configured to train at least one neural network based on raw physiological data augmented with synthetic data and subjected to a grow-and-prune paradigm to generate at least one mental health disorder inference model. The processors are also configured to output a mental health disorder-based decision by inputting the received physiological data into the generated mental health disorder inference model.