Prediction of findings at screening colonoscopy using a machine learning algorithm based on complete blood counts (ColonFlag)

Adenomatous polyps are a common precursor lesion for colorectal cancer. ColonFlag is a machine- learning-based algorithm that uses basic patient information and complete blood cell counts (CBC) to identify individuals at elevated risk of colorectal cancer for intensified screening. The purpose of th...

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Bibliographic Details
Published in:	PloS one Vol. 13; no. 11; p. e0207848
Main Authors:	Hilsden, Robert J., Heitman, Steven J., Mizrahi, Barak, Narod, Steven A., Goshen, Ran
Format:	Journal Article
Language:	English
Published:	United States Public Library of Science 27.11.2018 Public Library of Science (PLoS)
Subjects:	Algorithms Anemia Artificial intelligence Biology and Life Sciences Blood Blood tests Cancer Cancer research Cancer screening Colon Colon cancer Colonoscopy Colorectal cancer Colorectal carcinoma Data mining Diagnosis Electronic health records Endoscopy Erythrocytes Feces Gastrointestinal diseases Health care Health risks Health sciences Health screening Hospitals Inflammation Laboratories Learning algorithms Lesions Machine learning Medical records Medical research Medical screening Medical tests Medicine and Health Sciences Mortality Pathology Patient education Patients Platelets Polyps Population Population studies Preventive medicine Primary care Research and Analysis Methods Risk Risk factors Subgroups Systematic review Task forces Canada Israel Calgary Alberta Canada United Kingdom > UK Alberta Canada United States > US
ISSN:	1932-6203, 1932-6203
Online Access:	Get full text
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