Development and Validation of Machine Learning Models in Prediction of Remission in Patients With Moderate to Severe Crohn Disease-Reference-Cited by-同舟云学术

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Development and Validation of Machine Learning Models in Prediction of Remission in Patients With Moderate to Severe Crohn Disease

Published:2019-05-10 Issue:5 Volume:2 Page:e193721
ISSN:2574-3805
Container-title:JAMA Network Open
language:en
Short-container-title:JAMA Netw Open

Author:

Waljee Akbar K.¹²³,Wallace Beth I.¹²⁴,Cohen-Mekelburg Shirley²³,Liu Yumu⁵,Liu Boang⁵,Sauder Kay³,Stidham Ryan W.³,Zhu Ji⁵,Higgins Peter D. R.³

Affiliation:

1. Michigan Integrated Center for Health Analytics and Medical Prediction, Ann Arbor

2. VA Center for Clinical Management Research, VA Ann Arbor Health Care System, Ann Arbor, Michigan

3. Division of Gastroenterology and Hepatology, Department of Internal Medicine, Michigan Medicine, Ann Arbor

4. Division of Rheumatology, Department of Internal Medicine, Michigan Medicine, Ann Arbor

5. Department of Statistics, University of Michigan, Ann Arbor

Publisher

American Medical Association (AMA)

Subject

General Medicine

Link

http:///jamanetworkopen/article-pdf/2/5/e193721/17677131/waljee_2019_oi_190165.pdf

Reference18 articles.

1. Incidence and prevalence of Crohn’s disease and ulcerative colitis in Olmsted County, Minnesota from 1970 through 2010.;Shivashankar;Clin Gastroenterol Hepatol,2017

2. Biological therapies in inflammatory bowel disease: beyond anti-TNF therapies;Katsanos;Clin Immunol

3. Levels of drug and antidrug antibodies are associated with outcome of interventions after loss of response to infliximab or adalimumab.;Yanai;Clin Gastroenterol Hepatol,2015

4. Role for therapeutic drug monitoring during induction therapy with TNF antagonists in IBD: evolution in the definition and management of primary nonresponse.;Papamichael;Inflamm Bowel Dis,2015

5. Assessing response and loss of response to biological therapies in IBD.;Yanai;Am J Gastroenterol,2011

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