A Fuzzy-Cognitive-Maps Approach to Decision-Making in Medical Ethics

Alice Hein, Lukas J. Meier, Alena M. Buyx, Klaus Diepold

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Although machine intelligence is increasingly employed in healthcare, the realm of decision-making in medical ethics remains largely unexplored from a technical perspective. We propose an approach based on fuzzy cognitive maps (FCMs), which builds on Beauchamp and Childress' prima-facie principles. The FCM's weights are optimized using a genetic algorithm to provide recommendations regarding the initiation, continuation, or withdrawal of medical treatment. The resulting model approximates the answers provided by our team of medical ethicists fairly well and offers a high degree of interpretability. Possible applications of such a system include informal guidance on medical ethics dilemmas as well as educational purposes.

Original languageEnglish
Title of host publication2022 IEEE International Conference on Fuzzy Systems, FUZZ 2022 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665467100
DOIs
StatePublished - 2022
Event2022 IEEE International Conference on Fuzzy Systems, FUZZ 2022 - Padua, Italy
Duration: 18 Jul 202223 Jul 2022

Publication series

NameIEEE International Conference on Fuzzy Systems
Volume2022-July
ISSN (Print)1098-7584

Conference

Conference2022 IEEE International Conference on Fuzzy Systems, FUZZ 2022
Country/TerritoryItaly
CityPadua
Period18/07/2223/07/22

Keywords

  • decision support systems
  • fuzzy cognitive map
  • genetic algorithm
  • medical ethics

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