Pragati Patil

Predicting Mental Health Conditions from Text Using Interpretable Machine Learning

Experimental results demonstrate that interpretability does not significantly compromise predictive performance, enabling trustworthy AI-assisted mental health screening, and presents an interpretable machine learning framework that combines natural language processing (NLP) feature extraction with explainable AI techn...