A Computational Argumentation-Based Clinical Decision Support System Incorporating Patient Emotions

Clinical decision support systems (CDSS) assist physicians in making medical decisions by relying on fixed rules and guidelines. However, these systems often lack sufficient consideration of individual differences and struggle to adapt to complex clinical scenarios. This paper proposes a novel CDSS based on an extended argumentation framework, integrating patient data and individual preferences to provide more personalized treatment recommendations. By employing critical questions and argument schemes from computational argumentation, and utilizing multiple data sources—including official medical guidelines, comprehensive drug information databases, and patient reviews—we enhance the system's decision-making capability. We developed a prototype system to validate this approach and its outcomes.