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

• Published in: American journal of physiology: Gastrointestinal and liver physiology Vol. 320; no. 3; pp. G328 - G337
• Main Authors: Manandhar, Ishan, Alimadadi, Ahmad, Aryal, Sachin, Munroe, Patricia B., Joe, Bina, Cheng, Xi
• Format: Journal Article
• Language: English
• Published: United States American Physiological Society 01.03.2021
• Series: Microbiome and Host Interactions
• Subjects: Diagnosis, Computer-Assisted - methods; Gastrointestinal Microbiome; Humans; Inflammatory Bowel Diseases - diagnosis; Inflammatory Bowel Diseases - microbiology; Supervised Machine Learning; ulcerative colitis; gut microbiome; machine learning; inflammatory bowel disease; Crohn’s disease

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. Despite the availability of various diagnostic tests for inflammatory bowel...