Assessing the relevance of mental health factors in fibromyalgia severity: A data-driven case study using explainable AI
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Published:2024-01
Issue:
Volume:181
Page:105280
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ISSN:1386-5056
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Container-title:International Journal of Medical Informatics
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language:en
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Short-container-title:International Journal of Medical Informatics
Author:
Moreno-Sánchez Pedro A.,
Arroyo-Fernández RubenORCID,
Bravo-Esteban ElisabethORCID,
Ferri-Morales AsunciónORCID,
van Gils Mark
Subject
Health Informatics
Reference35 articles.
1. Quality of life issues for fibromyalgia patients;Bernard;Arthritis Care Res.,2000
2. The role of catastrophizing in the pain and depression of women with fibromyalgia syndrome;Hassett;Arthritis Rheum.,2000
3. Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond;Yang;Information Fusion,2022
4. R.V. Zicari et al., Co-design of a trustworthy AI system in healthcare: deep learning based skin lesion classifier, Front. Hum. Dyn. 3 (2021), Accessed: May 24, 2022 [Online], Available: https://www.frontiersin.org/article/10.3389/fhumd.2021.688152.
5. Binary classification using neural and clinical features: an application in fibromyalgia with likelihood-based decision level fusion;Gökçay;IEEE J. Biomed. Health Inform.,2019