Abstract
Medical reasoning in the context of multiple co-existing diseases poses challenges to healthcare professionals by demanding a careful consideration of possible harmful interactions. Computational argumentation, with its conflict resolution capabilities, may assist medical decisions by sorting out these interactions. Unfortunately, most of the argumentation work developed for medical reasoning has not been widely applied to real clinical sources. In this work, we select ASPIC+G and formalise a real clinical case according to the definitions of this argumentation framework. We found limitations in the representation of a patient’s evolution and the formalisation of clinical rules which can be inferred from the context of the clinical case.
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Notes
- 1.
s.t.: such that.
- 2.
Here we omit the second index.
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Acknowledgments
This work has been supported by FCT - Fundação para a Ciência e a Tecnologia within the R&D Units project scope UIDB/00319/2020. The work of Ana Silva is also supported by a Portuguese doctoral grant, SFRH/BD/143512/2019, issued by FCT in Portugal.
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Silva, A., Silva, A., Oliveira, T., Novais, P. (2020). Mapping a Clinical Case Description to an Argumentation Framework: A Preliminary Assessment. In: Analide, C., Novais, P., Camacho, D., Yin, H. (eds) Intelligent Data Engineering and Automated Learning – IDEAL 2020. IDEAL 2020. Lecture Notes in Computer Science(), vol 12489. Springer, Cham. https://doi.org/10.1007/978-3-030-62362-3_30
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