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A machine-learning algorithm to identify hepatitis C in health insurance claims data

Detalles Bibliográficos
Autores principales: Khan, Mohammed A., Soh, Jae Eui, Maenner, Matthew, Thompson, William W., Nelson, Noele P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: University of Illinois at Chicago Library 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6606263/
http://dx.doi.org/10.5210/ojphi.v11i1.9685
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author Khan, Mohammed A.
Soh, Jae Eui
Maenner, Matthew
Thompson, William W.
Nelson, Noele P.
author_facet Khan, Mohammed A.
Soh, Jae Eui
Maenner, Matthew
Thompson, William W.
Nelson, Noele P.
author_sort Khan, Mohammed A.
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spelling pubmed-66062632019-07-10 A machine-learning algorithm to identify hepatitis C in health insurance claims data Khan, Mohammed A. Soh, Jae Eui Maenner, Matthew Thompson, William W. Nelson, Noele P. Online J Public Health Inform Abstract University of Illinois at Chicago Library 2019-05-30 /pmc/articles/PMC6606263/ http://dx.doi.org/10.5210/ojphi.v11i1.9685 Text en ISDS Annual Conference Proceedings 2019 http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial (CC BY-NC) 4.0 License.
spellingShingle Abstract
Khan, Mohammed A.
Soh, Jae Eui
Maenner, Matthew
Thompson, William W.
Nelson, Noele P.
A machine-learning algorithm to identify hepatitis C in health insurance claims data
title A machine-learning algorithm to identify hepatitis C in health insurance claims data
title_full A machine-learning algorithm to identify hepatitis C in health insurance claims data
title_fullStr A machine-learning algorithm to identify hepatitis C in health insurance claims data
title_full_unstemmed A machine-learning algorithm to identify hepatitis C in health insurance claims data
title_short A machine-learning algorithm to identify hepatitis C in health insurance claims data
title_sort machine-learning algorithm to identify hepatitis c in health insurance claims data
topic Abstract
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6606263/
http://dx.doi.org/10.5210/ojphi.v11i1.9685
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