Strategies in Abduction: Generating and Selecting Diagnostic Hypotheses.

We distinguish three aspects of medical diagnosis: generating new diagnostic hypotheses, selecting hypotheses for further pursuit, and evaluating their probability in light of the available evidence. Drawing on Peirce's account of abduction, we argue that hypothesis generation is amenable to normati...

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Publicado en:Journal of Medicine & Philosophy Vol. 45; no. 2; pp. 159 - 179
Autores principales: Stanley, Donald E, Nyrup, Rune
Formato: Journal Article
Publicado: Oxford University Press / USA Apr2020
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Strategies in Abduction: Generating and Selecting Diagnostic Hypotheses.
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        au:
          Stanley, Donald E
          Nyrup, Rune
        affil:
          Main Medical Center, Portland, Maine, USA
          University of Cambridge, Cambridge, UK
      su:
        Abduction (Logic)
        Hypothesis
        Diagnosis
        Decision making
        Receiver operating characteristic curves
        Probabilistic number theory
      sug:
        subj:
          Abduction (Logic)
          Hypothesis
          Diagnosis
          Decision making
          Receiver operating characteristic curves
          Probabilistic number theory
      keyword:
        abduction
        C. S. Peirce
        clinical diagnosis
        strategic reasoning
        threshold approach
      ab: We distinguish three aspects of medical diagnosis: generating new diagnostic hypotheses, selecting hypotheses for further pursuit, and evaluating their probability in light of the available evidence. Drawing on Peirce's account of abduction, we argue that hypothesis generation is amenable to normative analysis: physicians need to make good decisions about when and how to generate new diagnostic hypothesis as well as when to stop. The intertwining relationship between the generation and selection of diagnostic hypotheses is illustrated through the analysis of a detailed clinical case study. This interaction is not adequately captured by the existing probabilistic, decision-theoretic models of the threshold approach to clinical decision-making. Instead, we propose to conceptualize medical diagnosis in terms of strategic reasoning.
      pubtype: Academic Journal
      doctype: Journal Article
      src: R
    language: English
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