AI and ML Strategies for Preventing Veteran Suicides

This document is a technical report that discusses the pressing issue of veteran suicides and the potential role of artificial intelligence (AI) and machine learning (ML) in prevention efforts. It outlines statistics from the 2022 National Veteran Suicide Prevention Annual Report, indicating that suicide is the second leading cause of death among veterans under 45, with approximately 17 veterans taking their lives daily in 2020. The report details initiatives by the U.S. Department of Defense and the Department of Veterans Affairs to enhance support services and research funding aimed at identifying suicide risks. It emphasizes the importance of technology in early detection of suicidal ideation and PTSD among veterans. The report also highlights challenges in implementing AI and ML solutions, such as ensuring model applicability across diverse veteran populations and maintaining data accuracy. Furthermore, it discusses the role of organizations like NetApp in facilitating data sharing and reducing IT burdens to support these initiatives effectively.