Transparency of Classification Systems for Clinical Decision Support - Archive ouverte HAL
Book Sections Year : 2020

Transparency of Classification Systems for Clinical Decision Support

Abstract

In collaboration with the Civil Hospitals of Lyon, we aim to develop a "transparent" classification system for medical purposes. To do so, we need clear definitions and operational criteria to determine what is a "transparent" classification system in our context. However, the term "transparency" is often left undefined in the literature, and there is a lack of operational criteria allowing to check whether a given algorithm deserves to be called "transparent" or not. Therefore, in this paper, we propose a definition of "transparency" for classification systems in medical contexts. We also propose several operational criteria to evaluate whether a classification system can be considered "transpar-ent". We apply these operational criteria to evaluate the "transparency" of several well-known classification systems.
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Dates and versions

hal-02890002 , version 1 (06-07-2020)

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Antoine Richard, Brice Mayag, François Talbot, Alexis Tsoukiàs, Yves Meinard. Transparency of Classification Systems for Clinical Decision Support. Information Processing and Management of Uncertainty in Knowledge-Based Systems - 18th International Conference, IPMU 2020, Lisbon, Portugal, June 15–19, 2020, Proceedings, Part III, pp.99-113, 2020, Communications in Computer and Information Science, ⟨10.1007/978-3-030-50153-2_8⟩. ⟨hal-02890002⟩
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