| Abstrakt: |
A report from the University of Utah discusses the potential of computational psychiatry in advancing the diagnosis, understanding, and treatment of mental health conditions. The researchers aim to create a computational psychiatry dataset that can be used to study mental health risk in the general population. The dataset will include multimodal, sensor-based behavioral features and will be designed to be widely shared across academia, industry, and government. The research is currently ongoing, with data collection expected to conclude by July 2024. The goal is to move towards interdisciplinary collaborations and maximize data privacy in order to advance mental health risk assessment. [Extracted from the article] |
