AXAI-CDSS: An Affective Explainable AI-Driven Clinical Decision Support System for Cannabis Use

As cannabis use has increased in recent years, researchers have come to rely on sophisticated machine learning models to predict cannabis use behavior and its impact on health. However, many artificial intelligence (AI) models lack transparency and interpretability due to their opaque nature, limiti...

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Bibliographic Details
Published in:	2025 International Conference on Activity and Behavior Computing (ABC) pp. 1 - 14
Main Authors:	Zhang, Tongze, Chung, Tammy, Dey, Anind, Bae, Sang Won
Format:	Conference Proceeding
Language:	English
Published:	IEEE 21.04.2025
Subjects:	Affective Computing Algorithmic Decisions Artificial intelligence Cannabis Intoxication Cannabis Use Disorder Cannabis-Intoxicated Behaviors Causal Inference Clinical Decision Support Systems (CDSS) Decision support systems Emotion recognition Explainable AI Explainable Artificial Intelligence (XAI) Facial Emotion Recognition Healthcare AI Inference algorithms Large language models Large Language Models (LLMs) Medical services Passive Sensing Personalized Intervention Predictive models Real-time systems Sentiment analysis Transparency Trustworthy AI
Online Access:	Get full text
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