Detecting ulcerative colitis from colon samples using efficient feature selection and machine learning

• Published in: Scientific reports Vol. 10; no. 1; p. 13744
• Main Authors: Khorasani, Hanieh Marvi, Usefi, Hamid, Peña-Castillo, Lourdes
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 13.08.2020; Nature Publishing Group
• Subjects: 631/114; 631/114/1305; 631/114/2407; 631/114/2413; 692/699/1503/257; Colitis, Ulcerative - pathology; Colon; Colon - pathology; Diagnosis; Endoscopy - methods; Feature selection; Gene expression; Gene Expression - physiology; Humanities and Social Sciences; Humans; Inflammation - pathology; Inflammatory bowel disease; Inflammatory bowel diseases; Inflammatory Bowel Diseases - pathology; Intestinal Mucosa - pathology; Intestine; Learning algorithms; Machine Learning; Mucosa; multidisciplinary; Science; Science (multidisciplinary); Ulcerative colitis

Ulcerative colitis (UC) is one of the most common forms of inflammatory bowel disease (IBD) characterized by inflammation of the mucosal layer of the colon. Diagnosis of UC is based on clinical symptoms, and then confirmed based on endoscopic, histologic and laboratory findings. Feature selection an...