Dietary Efficacy Evaluation by Applying a Prediction Model Using Clinical Fecal Microbiome Data of Colorectal Disease to a Controlled Animal Model from an Obesity Perspective

Dietary Efficacy Evaluation by Applying a Prediction Model Using Clinical Fecal Microbiome Data of Colorectal Disease to a Controlled Animal Model from an Obesity Perspective

Obesity associated with a Western diet such as a high-fat diet (HFD) is a known risk factor for inflammatory bowel disease (IBD) and colorectal cancer (CRC). In this study, we aimed to develop fecal microbiome data-based deep learning algorithms for the risk assessment of colorectal diseases. The ef...

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Bibliographic Details
Main Authors: Hochan Seo, Cheol-O Kwon, Joo-Hyun Park, Chil-Sung Kang, Tae-Seop Shin, Eun-Young Yang, Jin Woo Jung, Byoung-Seok Moon, Yoon-Keun Kim
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Microorganisms
Subjects:
obesity
inflammatory bowel disease
colorectal cancer
microbiome
16S amplicon sequencing
gradient boosting machine
Online Access:https://www.mdpi.com/2076-2607/10/9/1833

Internet

https://www.mdpi.com/2076-2607/10/9/1833

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