Medical decision making frequently requires the effective management and communication of uncertainty and risk. However a tension exists between classical probability theory, which is precise and rigorous but which people find non-intuitive and difficult to use, and qualitative approaches which are ad hoc but can be more versatile and easily comprehensible. In this paper we review a range of approaches to uncertainty management, then describe a logical approach, argumentation, which subsumes qualitative as well as quantitative representations and has a clear formal semantics. The approach is illustrated and evaluated in five decision support applications.
CITATION STYLE
Fox, J., Glasspool, D., & Bury, J. (2001). Quantitative and qualitative approaches to reasoning under uncertainty in medical decision making. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2101, pp. 272–282). Springer Verlag. https://doi.org/10.1007/3-540-48229-6_39
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