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The Logic of Medical Diagnosis

Authors: Daniel G. Campos; Donald E. Stanley;

The Logic of Medical Diagnosis

Abstract

Establishing diagnoses is a crucial aspect of medical practice. However, this process has received comparatively little logical and pedagogical attention when compared to statistical methods for evaluating evidence. This article investigates the logic of medical diagnosis in order to fill this void. It is organized in three parts: the first attempts to explain why more attention ought to be paid to diagnosis, at least as much as to evidence; the second calls attention to the method of diagnosis by abductive reasoning developed in the 19th century by Charles Sanders Peirce (1839-1914); and the third demonstrates the use and pervasiveness of abduction by any other name in clinical diagnosis. We examine six diagnostic strategies in common use that contain most, if not all, of Peirce's structure of inquiry in science.

Keywords

Logic, Diagnosis

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    citations
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    28
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
28
Top 10%
Top 10%
Top 10%
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