An Explainable Artificial Intelligence Model Proposed for the Prediction of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and the Identification of Distinctive Metabolites

An Explainable Artificial Intelligence Model Proposed for the Prediction of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and the Identification of Distinctive Metabolites

Background: Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a complex and debilitating illness with a significant global prevalence, affecting over 65 million individuals. It affects various systems, including the immune, neurological, gastrointestinal, and circulatory systems. Studie...

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Bibliographic Details
Main Authors: Fatma Hilal Yagin, Abedalrhman Alkhateeb, Ali Raza, Nagwan Abdel Samee, Noha F. Mahmoud, Cemil Colak, Burak Yagin
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Diagnostics
Subjects:
explainable artificial intelligence
myalgic encephalomyelitis/chronic fatigue syndrome
metabolomics data
clinical classification
Online Access:https://www.mdpi.com/2075-4418/13/23/3495

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https://www.mdpi.com/2075-4418/13/23/3495

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