Machine learning models to predict disease progression among veterans with hepatitis C virus-Reference-Cited by-同舟云学术

Machine learning models to predict disease progression among veterans with hepatitis C virus

Published:2019-01-04 Issue:1 Volume:14 Page:e0208141
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Konerman Monica A.^ORCID,Beste Lauren A.,Van Tony,Liu Boang,Zhang Xuefei,Zhu Ji,Saini Sameer D.,Su Grace L.,Nallamothu Brahmajee K.,Ioannou George N.,Waljee Akbar K.^ORCID

Funder

HSRD

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference24 articles.

1. Fibrosis Progression in Patients With Chronic Hepatitis C Virus Infection;M Zeremski;The Journal of Infectious Diseases,2016

2. Predicting progression to cirrhosis in chronic hepatitis C virus infection;AJ Freeman;Journal of viral hepatitis,2003

3. How to Establish Clinical Prediction Models;Y-h Lee;Endocrinology and Metabolism,2016

4. A Primer on Predictive Models;AK Waljee;Clinical and translational gastroenterology,2014

5. Improvement of predictive models of risk of disease progression in chronic hepatitis C by incorporating longitudinal data;MA Konerman;Hepatology (Baltimore, Md),2015

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