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Argumentation-Based Framework Selection for Clinical Decision Support.
Nada Boudegzdame1,2, Karima Sedki1, Jean-Baptiste Lamy1
1Université Sorbonne Paris Nord, LIMICS, UMR 1142, Inserm, Bobigny, France.
Studies in Health Technology and Informatics
|May 17, 2025
Summary
Argumentation frameworks help structure complex clinical decisions. QuAD and DF-QuAD best suit clinical decision support based on tailored criteria, aiding healthcare professionals in evaluating treatment options and patient preferences.
Area of Science:
- Artificial Intelligence in Medicine
- Computational Argumentation
- Decision Support Systems
Background:
- Clinical decision-making is complex, involving multiple factors like treatment choices, patient values, and differing medical advice.
- Argumentation frameworks (AFs) offer a structured method for analyzing and reasoning about complex decisions by evaluating supporting and opposing arguments.
Purpose of the Study:
- To review existing argumentation frameworks (AFs).
- To identify the most suitable AF for clinical decision support.
- To compare various AFs using criteria specific to clinical decision-making.
Main Methods:
- Comparative analysis of argumentation frameworks including Dung's AF, PAF, VAF, WAF, BAF, IBIS, and QuAD.
- Evaluation based on criteria specifically developed for clinical decision-making needs.
Main Results:
- The comparative analysis identified specific strengths and weaknesses of each framework in the context of clinical decision support.
- QuAD and DF-QuAD demonstrated superior performance against the defined clinical criteria.
Conclusions:
- Argumentation frameworks provide a valuable tool for structuring and reasoning in clinical decision-making.
- QuAD and DF-QuAD emerge as the most promising frameworks for developing effective clinical decision support systems.
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