The need for quantification of uncertainty in artificial intelligence for clinical data analysis: increasing the level of trust in the decision-making process

Abdar, Moloud; Khosravi, Abbas; Islam, Shariful; Acharya, U Rajendra; Vasilakos, Athanasios V

The need for quantification of uncertainty in artificial intelligence for clinical data analysis: increasing the level of trust in the decision-making process

journal contribution

posted on 2023-02-10, 01:48 authored by Moloud Abdar, Abbas KhosraviAbbas Khosravi, Shariful Islam, U Rajendra Acharya, Athanasios V Vasilakos

The need for quantification of uncertainty in artificial intelligence for clinical data analysis: increasing the level of trust in the decision-making process

History

Journal

IEEE SYSTEMS MAN AND CYBERNETICS MAGAZINE

Volume

8

Pagination

28-40

ISSN

2380-1298

eISSN

2333-942X

Language

English

Author URL

https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000838540000014&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a045e4b2bb1f2b747c68c720ec8913b7

Publication classification

C1 Refereed article in a scholarly journal

Issue

3

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

Publication URL

http://dx.doi.org/10.1109/msmc.2022.3150144

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Keywords

Science & Technology Technology Computer Science, Cybernetics Computer Science DIAGNOSTIC ERRORS BURDEN

The need for quantification of uncertainty in artificial intelligence for clinical data analysis: increasing the level of trust in the decision-making process

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