Interpretable Machine Learning Framework Reveals Robust Gut Microbiome Features Associated With Type 2 Diabetes

OBJECTIVE: To identify the core gut microbial features associated with type 2 diabetes risk and potential demographic, adiposity, and dietary factors associated with these features. RESEARCH DESIGN AND METHODS: We used an interpretable machine learning framework to identify the type 2 diabetes–relat...

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Detalles Bibliográficos
Autores principales: Gou, Wanglong, Ling, Chu-wen, He, Yan, Jiang, Zengliang, Fu, Yuanqing, Xu, Fengzhe, Miao, Zelei, Sun, Ting-yu, Lin, Jie-sheng, Zhu, Hui-lian, Zhou, Hongwei, Chen, Yu-ming, Zheng, Ju-Sheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Diabetes Association 2021
Materias:
Epidemiology/Health Services Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7818326/
https://www.ncbi.nlm.nih.gov/pubmed/33288652
http://dx.doi.org/10.2337/dc20-1536

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7818326/
https://www.ncbi.nlm.nih.gov/pubmed/33288652
http://dx.doi.org/10.2337/dc20-1536

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