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Binarized multi-gate mixture of Bayesian experts for cardiac syndrome X diagnosis: A clinician-in-the-loop scenario with a belief-uncertainty fusion paradigm

Version 2 2024-10-19, 12:25
Version 1 2023-05-29, 02:35
journal contribution
posted on 2024-10-19, 12:25 authored by M Abdar, A Mehrzadi, M Goudarzi, F Masoudkabir, L Rundo, M Mamouei, E Sala, Abbas KhosraviAbbas Khosravi, V Makarenkov, UR Acharya, S Saadatagah, M Naderian, S García, N Sarrafzadegan, S Nahavandi
Binarized multi-gate mixture of Bayesian experts for cardiac syndrome X diagnosis: A clinician-in-the-loop scenario with a belief-uncertainty fusion paradigm

History

Journal

Information Fusion

Volume

97

Article number

101813

Pagination

1-20

Location

Amsterdam, The Netherlands

Publisher DOI

ISSN

1566-2535

Language

en

Publication classification

C1 Refereed article in a scholarly journal

Publisher

Elsevier

Publication URL

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    Research Publications

    Categories

    Keywords

    deep learningUncertainty Quantification (UQ)Cardiovascular disease (CVD)Cardiac syndrome X (CSX)Bayesian neural networks (BNNs)mixture of experts (moE)

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    All Rights Reserved

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