crossrefBig Data and Cognitive Computing2025-01-20Cited by 13
AI-Driven Mental Health Surveillance: Identifying Suicidal Ideation Through Machine Learning Techniques
Hesham Allam, Chris Davison, Faisal Kalota, Edward Lazaros, David Hua
As suicide rates increase globally, there is a growing need for effective, data-driven methods in mental health monitoring. This study leverages advanced artificial intelligence (AI), particularly natural language processing (NLP) and machine learning (ML), to identify suicidal i…