Name
Data Modeling to Support Suicide Prevention: The DLH Atlas Project
Date & Time
Tuesday, February 13, 2024, 2:10 PM - 3:10 PM
Description

Suicide attempts are precipitated by complex combinations of interacting risk factors that may include behavioral, environmental, geographic, medical, and genetic histories. Through the Atlas project, DLH proposes to extend existing methods of suicide risk prediction by exploring combinations and interactions of risk and mitigating factors using AI and machine learning techniques. The resulting predictive model will provide proof of concept for a novel tool that may enhance suicide risk prediction, support clinical therapeutic decision making, and inform future policy recommendations.

Location Name
National Harbor 3
View Slides Deck 1
Content Presented on Behalf of
DLH
Session Type
Breakout
CE/CME Session
Non-CE Session
Dropdown Content Presented On Behalf Of:
DLH