Detecting Suicidal Ideation in Adolescence Using Self-Reported Emotional and Behavioral Patterns: Comparing Machine Learning and Large Language Model Predictions.

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 St…

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