Transparency of Classification Systems for Clinical Decision Support
Richard, Antoine; Mayag, Brice; Talbot, François; Tsoukiàs, Alexis; Meinard, Yves (2020), Transparency of Classification Systems for Clinical Decision Support, Information Processing and Management of Uncertainty in Knowledge-Based Systems. 18th International Conference, IPMU 2020, 2020
TypeCommunication / Conférence
External document linkhttps://hal.archives-ouvertes.fr/hal-02890002
Conference titleInformation Processing and Management of Uncertainty in Knowledge-Based Systems. 18th International Conference, IPMU 2020
Book authorLesot, M.-J., Vieira, S., Reformat, M.
MetadataShow full item record
Abstract (EN)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.
Subjects / KeywordsExplainable AI; Transparency of Algorithms; Health Information Systems; Multi-label Classification
Showing items related by title and author.
How AI could help physicians during their medical consultations: An analysis of physicians' decision process to develop efficient decision support systems for medical consultations Richard, Antoine; Mayag, Brice; Meinard, Yves; Talbot, François; Tsoukiàs, Alexis (2018) Communication / Conférence
Richard, Antoine; Mayag, Brice; Talbot, François; Tsoukiàs, Alexis; Meinard, Yves (2020) Article accepté pour publication ou publié