Author: Richard, Antoine; Mayag, Brice; Talbot, François; Tsoukias, Alexis; Meinard, Yves
Title: Transparency of Classification Systems for Clinical Decision Support Cord-id: 3glb1ag4 Document date: 2020_5_16
ID: 3glb1ag4
Snippet: 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,
Document: 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 “transparentâ€. We apply these operational criteria to evaluate the “transparency†of several well-known classification systems.
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