Show simple item record

Transparency of Classification Systems for Clinical Decision Support

dc.contributor.authorRichard, Antoine
dc.contributor.authorMayag, Brice
HAL ID: 734803
dc.contributor.authorTalbot, François
dc.contributor.authorTsoukiàs, Alexis
HAL ID: 740501
ORCID: 0000-0001-5772-3988
dc.contributor.authorMeinard, Yves
dc.date.accessioned2020-10-07T10:40:03Z
dc.date.available2020-10-07T10:40:03Z
dc.date.issued2020
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/21082
dc.language.isoenen
dc.subjectExplainable AI
dc.subjectTransparency of Algorithms
dc.subjectHealth Information Systems
dc.subjectMulti-label Classification
dc.subject.ddc005en
dc.titleTransparency of Classification Systems for Clinical Decision Support
dc.typeCommunication / Conférence
dc.description.abstractenIn 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.
dc.identifier.citationpages99-113
dc.relation.ispartofeditorLesot, M.-J., Vieira, S., Reformat, M.
dc.relation.ispartofpublnameSpringer
dc.identifier.urlsitehttps://hal.archives-ouvertes.fr/hal-02890002
dc.subject.ddclabelProgrammation, logiciels, organisation des donnéesen
dc.relation.conftitleInformation Processing and Management of Uncertainty in Knowledge-Based Systems. 18th International Conference, IPMU 2020
dc.relation.confdate2020
dc.relation.forthcomingnonen
dc.identifier.doi10.1007/978-3-030-50153-2_8
dc.description.ssrncandidatenon
dc.description.halcandidatenon
dc.description.readershiprecherche
dc.description.audienceInternational
dc.date.updated2020-12-17T08:30:17Z


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record