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AMIA ... Annual Symposium Proceedings. AMIA Symposium
|
March 9, 2017
Towards Comprehensive Clinical Abbreviation Disambiguation Using Machine-Labeled Training Data
Gregory P Finley, Serguei V S Pakhomov, Reed McEwan, et al.
JAMIA Open
|
December 12, 2019
Using word embeddings to expand terminology of dietary supplements on clinical notes
Yadan Fan, Serguei Pakhomov, Reed McEwan, et al.
Bioinformatics (Oxford, England)
|
August 18, 2016
Corpus domain effects on distributional semantic modeling of medical terms
Serguei V S Pakhomov, Greg Finley, Reed McEwan, et al.
Studies in Health Technology and Informatics
|
January 4, 2018
Usability Evaluation of NLP-PIER: A Clinical Document Search Engine for Researchers
Gretchen Hultman, Reed McEwan, Serguei Pakhomov, et al.
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science
|
June 12, 2018
Usability Evaluation of an Unstructured Clinical Document Query Tool for Researchers
Gretchen Hultman, Reed McEwan, Serguei Pakhomov, et al.
Studies in Health Technology and Informatics
|
January 4, 2018
Detecting Signals of Interactions Between Warfarin and Dietary Supplements in Electronic Health Records
Yadan Fan, Terrence J Adam, Reed McEwan, et al.
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science
|
August 30, 2016
NLP-PIER: A Scalable Natural Language Processing, Indexing, and Searching Architecture for Clinical Notes
Reed McEwan, Genevieve B Melton, Benjamin C Knoll, et al.
Studies in Health Technology and Informatics
|
August 24, 2019
Named Entity Recognition in Prehospital Trauma Care
Greg M Silverman, Elizabeth A Lindemann, Geetanjali Rajamani, et al.
The Journal of Trauma and Acute Care Surgery
|
January 25, 2020
Natural language processing of prehospital emergency medical services trauma records allows for automated characterization of treatment appropriateness
Christopher J Tignanelli, Greg M Silverman, Elizabeth A Lindemann, et al.
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Search research articles
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Showing results (1-10 of 9) with videos related to
Sort By:
Page
of 1
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|
March 9, 2017
Towards Comprehensive Clinical Abbreviation Disambiguation Using Machine-Labeled Training Data
Gregory P Finley, Serguei V S Pakhomov, Reed McEwan, et al.
JAMIA Open
|
December 12, 2019
Using word embeddings to expand terminology of dietary supplements on clinical notes
Yadan Fan, Serguei Pakhomov, Reed McEwan, et al.
Bioinformatics (Oxford, England)
|
August 18, 2016
Corpus domain effects on distributional semantic modeling of medical terms
Serguei V S Pakhomov, Greg Finley, Reed McEwan, et al.
Studies in Health Technology and Informatics
|
January 4, 2018
Usability Evaluation of NLP-PIER: A Clinical Document Search Engine for Researchers
Gretchen Hultman, Reed McEwan, Serguei Pakhomov, et al.
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science
|
June 12, 2018
Usability Evaluation of an Unstructured Clinical Document Query Tool for Researchers
Gretchen Hultman, Reed McEwan, Serguei Pakhomov, et al.
Studies in Health Technology and Informatics
|
January 4, 2018
Detecting Signals of Interactions Between Warfarin and Dietary Supplements in Electronic Health Records
Yadan Fan, Terrence J Adam, Reed McEwan, et al.
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science
|
August 30, 2016
NLP-PIER: A Scalable Natural Language Processing, Indexing, and Searching Architecture for Clinical Notes
Reed McEwan, Genevieve B Melton, Benjamin C Knoll, et al.
Studies in Health Technology and Informatics
|
August 24, 2019
Named Entity Recognition in Prehospital Trauma Care
Greg M Silverman, Elizabeth A Lindemann, Geetanjali Rajamani, et al.
The Journal of Trauma and Acute Care Surgery
|
January 25, 2020
Natural language processing of prehospital emergency medical services trauma records allows for automated characterization of treatment appropriateness
Christopher J Tignanelli, Greg M Silverman, Elizabeth A Lindemann, et al.
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of 1