AXAI-MH: An Adaptive Context-Sensetive Explainable AI Framework for Personalized Mental Health Risk Assessment
AXAI-MH is an adaptive, explainable AI framework that leverages a hybrid interpretability mechanism and context-sensitive rule engine to deliver personalized, stakeholder-specific mental health risk assessments, achieving high predictive accuracy while significantly enhancing clinician trust and usability compared to standard baselines.
Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer
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