NeuroSym-MHIR: A Neuro-Symbolic Hybrid Intelligence Framework for Multi-Stage Mental Health Risk Stratification, Behavioral Phenotyping, and Personalized Intervention Recommendation
Increased levels of stress, anxiety, and depression among university students have put mental health care under the spotlight for universities around the globe. This study examines the potential for using AI and/or ML methods to produce data-driven individualized intervention suggestions from readily accessible student...