Ascertaining provider-level implicit bias in electronic health records with rules-based natural language processing: A pilot study in the case of prostate cancer

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Main Authors: Ashwin Ramaswamy, Michael Hung, Joe Pelt, Parsa Iranmahboub, Lina P. Calderon, Ian S. Scherr, Gerald Wang, David Green, Neal Patel, Timothy D. McClure, Christopher Barbieri, Jim C. Hu, Charlotta Lindvall, Douglas S. Scherr
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2024-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11684669/?tool=EBI
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author Ashwin Ramaswamy
Michael Hung
Joe Pelt
Parsa Iranmahboub
Lina P. Calderon
Ian S. Scherr
Gerald Wang
David Green
Neal Patel
Timothy D. McClure
Christopher Barbieri
Jim C. Hu
Charlotta Lindvall
Douglas S. Scherr
author_facet Ashwin Ramaswamy
Michael Hung
Joe Pelt
Parsa Iranmahboub
Lina P. Calderon
Ian S. Scherr
Gerald Wang
David Green
Neal Patel
Timothy D. McClure
Christopher Barbieri
Jim C. Hu
Charlotta Lindvall
Douglas S. Scherr
author_sort Ashwin Ramaswamy
collection DOAJ
format Article
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institution Kabale University
issn 1932-6203
language English
publishDate 2024-01-01
publisher Public Library of Science (PLoS)
record_format Article
series PLoS ONE
spelling doaj-art-caa20ea8c83d481a96b832e720de24b92025-01-04T05:30:52ZengPublic Library of Science (PLoS)PLoS ONE1932-62032024-01-011912Ascertaining provider-level implicit bias in electronic health records with rules-based natural language processing: A pilot study in the case of prostate cancerAshwin RamaswamyMichael HungJoe PeltParsa IranmahboubLina P. CalderonIan S. ScherrGerald WangDavid GreenNeal PatelTimothy D. McClureChristopher BarbieriJim C. HuCharlotta LindvallDouglas S. Scherrhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11684669/?tool=EBI
spellingShingle Ashwin Ramaswamy
Michael Hung
Joe Pelt
Parsa Iranmahboub
Lina P. Calderon
Ian S. Scherr
Gerald Wang
David Green
Neal Patel
Timothy D. McClure
Christopher Barbieri
Jim C. Hu
Charlotta Lindvall
Douglas S. Scherr
Ascertaining provider-level implicit bias in electronic health records with rules-based natural language processing: A pilot study in the case of prostate cancer
PLoS ONE
title Ascertaining provider-level implicit bias in electronic health records with rules-based natural language processing: A pilot study in the case of prostate cancer
title_full Ascertaining provider-level implicit bias in electronic health records with rules-based natural language processing: A pilot study in the case of prostate cancer
title_fullStr Ascertaining provider-level implicit bias in electronic health records with rules-based natural language processing: A pilot study in the case of prostate cancer
title_full_unstemmed Ascertaining provider-level implicit bias in electronic health records with rules-based natural language processing: A pilot study in the case of prostate cancer
title_short Ascertaining provider-level implicit bias in electronic health records with rules-based natural language processing: A pilot study in the case of prostate cancer
title_sort ascertaining provider level implicit bias in electronic health records with rules based natural language processing a pilot study in the case of prostate cancer
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11684669/?tool=EBI
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