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Interpretable machine learning algorithms reveal gut microbiome features associated with atopic dermatitis.

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第一作者： Jingtai,Ma

第一单位： National Medical Products Administration (NMPA) Key Laboratory for Safety Evaluation of Cosmetics, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China.;Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China.

作者： Jingtai,Ma ^[1] ; Yiting,Fang ^[1] ; Shiqi,Li ^[1] ; Lilian,Zeng ^[2] ; Siyi,Chen ^[2] ; Zhifeng,Li ^[2] ; Guiyuan,Ji ^[2] ; Xingfen,Yang ^[3] ; Wei,Wu ^[4]

作者单位： National Medical Products Administration (NMPA) Key Laboratory for Safety Evaluation of Cosmetics, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China.;Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China. ^[1] Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China. ^[2] National Medical Products Administration (NMPA) Key Laboratory for Safety Evaluation of Cosmetics, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China. ^[3] National Medical Products Administration (NMPA) Key Laboratory for Safety Evaluation of Cosmetics, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China.;Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China. ^[4]

关键词 SHAP value extreme gradient boosting interpretable machine learning light gradient boosting machine machine learning partial dependence plot random forest

医学主题词皮炎, 特应性(Dermatitis, Atopic);人类(Humans);RNA, 核糖体, 16S(RNA, Ribosomal, 16S);算法(Algorithms)

DOI 10.3389/fimmu.2025.1528046

PMID 40376006

发布时间 2025-05-17

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