Detecting Suicidal Ideation in Adolescence Using Self-Reported Emotional and Behavioral Patterns: Comparing Machine Learning and Large Language Model Predictions
Published online on December 31, 2025
Abstract
Assessment, Ahead of Print.
Suicidal ideation in adolescents is a critical public health issue requiring early detection. This study examined whether machine learning (ML) and large language models (LLMs) can detect ideation in 1,197 students (ages 10–15) using self-reported ...
Suicidal ideation in adolescents is a critical public health issue requiring early detection. This study examined whether machine learning (ML) and large language models (LLMs) can detect ideation in 1,197 students (ages 10–15) using self-reported ...