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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主要な著者:	Fatma Hilal Yagin, Abedalrhman Alkhateeb, Ali Raza, Nagwan Abdel Samee, Noha F. Mahmoud, Cemil Colak, Burak Yagin
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2023-11-01
シリーズ:	Diagnostics
主題:	explainable artificial intelligence myalgic encephalomyelitis/chronic fatigue syndrome metabolomics data clinical classification
オンライン･アクセス:	https://www.mdpi.com/2075-4418/13/23/3495
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