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

2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (2022)
  Copy   BIBTEX

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.

Other Versions

No versions found

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 98,484

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

Rule based fuzzy cognitive maps and natural language processing in machine ethics.Rollin M. Omari & Masoud Mohammadian - 2016 - Journal of Information, Communication and Ethics in Society 14 (3):231-253.
Handbook of Analytic Philosophy of Medicine.Kazem Sadegh-Zadeh - 2011 - Dordrecht, Heidelberg, New York, London: Springer.

Analytics

Added to PP
2022-10-02

Downloads
57 (#305,123)

6 months
14 (#188,191)

Historical graph of downloads
How can I increase my downloads?

Author Profiles

Alena Buyx
Technical University of Munich
Lukas J. Meier
Harvard University