Uploaded November 2017 | Updated September 2026, 2 hours ago
Addiction to drugs and alcohol destroys lives, families, and communities. This talk explores how we are structuring content generated through a mobile-first social network and applying machine learning techniques to predict relapse to substance abuse based on natural language processing. We will explore our methods, findings, and toolset for providing clinical relevance of self-administered therapies.
Addiction to drugs and alcohol destroys lives, families, and communities. This talk explores how we are structuring content generated through a mobile-first social network and applying machine learning techniques to predict relapse to substance abuse based on natural language processing. We will explore our methods, findings, and toolset for providing clinical relevance of self-administered therapies.
