Automated Classification of Alcohol Use by Text Mining of Electronic Medical Records

Detalles Bibliográficos
Autores principales: Lix, Lisa, Munakala, Sree Nihit, Singer, Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: University of Illinois at Chicago Library 2017
Materias:
ISDS 2016 Conference Abstracts
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5462225/
http://dx.doi.org/10.5210/ojphi.v9i1.7648
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author Lix, Lisa
Munakala, Sree Nihit
Singer, Alexander
author_facet Lix, Lisa
Munakala, Sree Nihit
Singer, Alexander
author_sort Lix, Lisa
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spelling pubmed-54622252017-06-12 Automated Classification of Alcohol Use by Text Mining of Electronic Medical Records Lix, Lisa Munakala, Sree Nihit Singer, Alexander Online J Public Health Inform ISDS 2016 Conference Abstracts University of Illinois at Chicago Library 2017-05-01 /pmc/articles/PMC5462225/ http://dx.doi.org/10.5210/ojphi.v9i1.7648 Text en http://creativecommons.org/licenses/by-nc/3.0/ ISDS Annual Conference Proceedings 2017. This is an Open Access article distributed under the terms of the Creative Commons Attribution-Noncommercial 3.0 Unported License, permitting all non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle ISDS 2016 Conference Abstracts
Lix, Lisa
Munakala, Sree Nihit
Singer, Alexander
Automated Classification of Alcohol Use by Text Mining of Electronic Medical Records
title Automated Classification of Alcohol Use by Text Mining of Electronic Medical Records
title_full Automated Classification of Alcohol Use by Text Mining of Electronic Medical Records
title_fullStr Automated Classification of Alcohol Use by Text Mining of Electronic Medical Records
title_full_unstemmed Automated Classification of Alcohol Use by Text Mining of Electronic Medical Records
title_short Automated Classification of Alcohol Use by Text Mining of Electronic Medical Records
title_sort automated classification of alcohol use by text mining of electronic medical records
topic ISDS 2016 Conference Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5462225/
http://dx.doi.org/10.5210/ojphi.v9i1.7648
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