Using an Interpretable Amino Acid-Based Machine Learning Method to Enhance the Diagnosis of Major Depressive Disorder.

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作者： Cyrus Su Hui,Ho ^[1] ; Trevor Wei Kiat,Tan ^[2] ; Howard Cai Hao,Khoe ^[3] ; Yee Ling,Chan ^[4] ; Gabrielle Wann Nii,Tay ^[5] ; Tong Boon,Tang ^[6]

作者单位： Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117543, Singapore. ^[1] Centre for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117543, Singapore. ^[2] Centre for Translational MR Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117543, Singapore. ^[3] Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore. ^[4] N.1 Institute for Health & Institute for Digital Medicine (WisDM), National University of Singapore, Singapore 117456, Singapore. ^[5] Integrative Sciences and Engineering Programme (ISEP), National University of Singapore, Singapore 119077, Singapore. ^[6] Singapore Psychiatry Residency, National Healthcare Group, Singapore 308433, Singapore. ^[7] Centre for Intelligent Signal and Imaging Research (CISIR), Universiti Teknologi PETRONAS (UTP), Seri Iskandar 32610, Perak, Malaysia. ^[8]

关键词 amino acids biomarker diagnosis machine learning major depressive disorder metabolomics

DOI 10.3390/jcm13051222

PMID 38592058

发布时间 2024-04-11

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Journal of clinical medicine

2024年13卷5期

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Using an Interpretable Amino Acid-Based Machine Learning Method to Enhance the Diagnosis of Major Depressive Disorder.

Journal of clinical medicine

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Using an Interpretable Amino Acid-Based Machine Learning Method to Enhance the Diagnosis of Major Depressive Disorder.

Journal of clinical medicine

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Journal of clinical medicine

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