Leveraging Explainable Automated Machine Learning (AutoML) and Metabolomics for Robust Diagnosis and Pathophysiological Insights in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS)

<b>Background/Objectives</b>: Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is a debilitating complex disease with an elusive etiology, lacking objective diagnostic biomarkers. This study leverages advanced Automated Machine Learning (AutoML) to analyze plasma metabolomic and lipidomic...

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Auteurs principaux:	Fatma Hilal Yagin, Cemil Colak, Fahaid Al-Hashem, Sarah A. Alzakari, Amel Ali Alhussan, Mohammadreza Aghaei
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2025-10-01
Collection:	Diagnostics
Sujets:	Myalgic Encephalomyelitis/Chronic Fatigue Syndrome metabolomics Automated machine learning explainable artificial intelligence TPOT
Accès en ligne:	https://www.mdpi.com/2075-4418/15/21/2755
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