Gut microbiome-based supervised machine learning for clinical diagnosis of inflammatory bowel diseases-Reference-Cited by-同舟云学术

Gut microbiome-based supervised machine learning for clinical diagnosis of inflammatory bowel diseases

Published:2021-03-01 Issue:3 Volume:320 Page:G328-G337
ISSN:0193-1857
Container-title:American Journal of Physiology-Gastrointestinal and Liver Physiology
language:en
Short-container-title:American Journal of Physiology-Gastrointestinal and Liver Physiology

Author:

Manandhar Ishan¹,Alimadadi Ahmad¹,Aryal Sachin¹,Munroe Patricia B.²^ORCID,Joe Bina¹,Cheng Xi¹^ORCID

Affiliation:

1. Bioinformatics & Artificial Intelligence Laboratory, Center for Hypertension and Precision Medicine, Program in Physiological Genomics, Department of Physiology and Pharmacology, University of Toledo College of Medicine and Life Sciences, Toledo, Ohio

2. Clinical Pharmacology, William Harvey Research Institute & National Institute of Health Research Barts Cardiovascular Biomedical Research Centre, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom

Abstract

Our study demonstrates the promising potential of artificial intelligence via supervised machine learning modeling for predictive diagnostics of different types of inflammatory bowel diseases using fecal gut microbiome data.

Funder

University of Toledo College of Medicine and Life Sciences

HHS | NIH | National Institute on Drug Abuse

HHS | NIH | National Heart, Lung, and Blood Institute

Publisher

American Physiological Society

Subject

Physiology (medical),Gastroenterology,Hepatology,Physiology

Link

https://journals.physiology.org/doi/pdf/10.1152/ajpgi.00360.2020

Reference61 articles.

1. Understanding and Preventing the Global Increase of Inflammatory Bowel Disease