[A machine learning model based on initial gut microbiome data for predicting changes of Bifidobacterium after prebiotics consumption].

Journal: Nan fang yi ke da xue xue bao = Journal of Southern Medical University

Published Date: Mar 20, 2018

Abstract

OBJECTIVE: To investigate the effects of prebiotics supplementation for 9 days on gut microbiota structure and function and establish a machine learning model based on the initial gut microbiota data for predicting the variation of Bifidobacterium after prebiotic intake.

Authors

Yue-Mei Luo

Department of Environmental Health, School of Public Health, Southern Medical University, Guangzhou 510515, China. E-mail: 1275862208@qq.com.
Fei-Tong Liu
Mu-Xuan Chen
Wen-Li Tang
Yue-Lian Yang
Xi-Lan Tan
Hong-Wei Zhou

Keywords

Bifidobacterium Double-Blind Method Feces Gastrointestinal Microbiome Humans Machine Learning Prebiotics RNA, Ribosomal, 16S

External Resources

View on PubMed Access via DOI PubMed (29643029)

[A machine learning model based on initial gut microbiome data for predicting changes of Bifidobacterium after prebiotics consumption].

Abstract

Authors

Keywords

External Resources

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