Development of phenotype algorithms using electronic medical records and incorporating natural language processing

Electronic medical records are emerging as a major source of data for clinical and translational research studies, although phenotypes of interest need to be accurately defined first. This article provides an overview of how to develop a phenotype algorithm from electronic medical records, incorpora...

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Detalles Bibliográficos
Autores principales: Liao, Katherine P, Cai, Tianxi, Savova, Guergana K, Murphy, Shawn N, Karlson, Elizabeth W, Ananthakrishnan, Ashwin N, Gainer, Vivian S, Shaw, Stanley Y, Xia, Zongqi, Szolovits, Peter, Churchill, Susanne, Kohane, Isaac
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group Ltd. 2015
Materias:
Research Methods & Reporting
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4707569/
https://www.ncbi.nlm.nih.gov/pubmed/25911572
http://dx.doi.org/10.1136/bmj.h1885
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author Liao, Katherine P
Cai, Tianxi
Savova, Guergana K
Murphy, Shawn N
Karlson, Elizabeth W
Ananthakrishnan, Ashwin N
Gainer, Vivian S
Shaw, Stanley Y
Xia, Zongqi
Szolovits, Peter
Churchill, Susanne
Kohane, Isaac
author_facet Liao, Katherine P
Cai, Tianxi
Savova, Guergana K
Murphy, Shawn N
Karlson, Elizabeth W
Ananthakrishnan, Ashwin N
Gainer, Vivian S
Shaw, Stanley Y
Xia, Zongqi
Szolovits, Peter
Churchill, Susanne
Kohane, Isaac
author_sort Liao, Katherine P
collection PubMed
description Electronic medical records are emerging as a major source of data for clinical and translational research studies, although phenotypes of interest need to be accurately defined first. This article provides an overview of how to develop a phenotype algorithm from electronic medical records, incorporating modern informatics and biostatistics methods.
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spelling pubmed-47075692016-01-13 Development of phenotype algorithms using electronic medical records and incorporating natural language processing Liao, Katherine P Cai, Tianxi Savova, Guergana K Murphy, Shawn N Karlson, Elizabeth W Ananthakrishnan, Ashwin N Gainer, Vivian S Shaw, Stanley Y Xia, Zongqi Szolovits, Peter Churchill, Susanne Kohane, Isaac BMJ Research Methods & Reporting Electronic medical records are emerging as a major source of data for clinical and translational research studies, although phenotypes of interest need to be accurately defined first. This article provides an overview of how to develop a phenotype algorithm from electronic medical records, incorporating modern informatics and biostatistics methods. BMJ Publishing Group Ltd. 2015-04-24 /pmc/articles/PMC4707569/ /pubmed/25911572 http://dx.doi.org/10.1136/bmj.h1885 Text en © BMJ Publishing Group Ltd 2015
spellingShingle Research Methods & Reporting
Liao, Katherine P
Cai, Tianxi
Savova, Guergana K
Murphy, Shawn N
Karlson, Elizabeth W
Ananthakrishnan, Ashwin N
Gainer, Vivian S
Shaw, Stanley Y
Xia, Zongqi
Szolovits, Peter
Churchill, Susanne
Kohane, Isaac
Development of phenotype algorithms using electronic medical records and incorporating natural language processing
title Development of phenotype algorithms using electronic medical records and incorporating natural language processing
title_full Development of phenotype algorithms using electronic medical records and incorporating natural language processing
title_fullStr Development of phenotype algorithms using electronic medical records and incorporating natural language processing
title_full_unstemmed Development of phenotype algorithms using electronic medical records and incorporating natural language processing
title_short Development of phenotype algorithms using electronic medical records and incorporating natural language processing
title_sort development of phenotype algorithms using electronic medical records and incorporating natural language processing
topic Research Methods & Reporting
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4707569/
https://www.ncbi.nlm.nih.gov/pubmed/25911572
http://dx.doi.org/10.1136/bmj.h1885
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