Food entries in a large allergy data repository

Objective Accurate food adverse sensitivity documentation in electronic health records (EHRs) is crucial to patient safety. This study examined, encoded, and grouped foods that caused any adverse sensitivity in a large allergy repository using natural language processing and standard terminologies....

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Bibliographic Details
Published in:J Am Med Inform Assoc
Main Authors: Plasek, Joseph M., Goss, Foster R., Lai, Kenneth H., Lau, Jason J., Seger,, Diane L., Blumenthal, Kimberly G., Wickner, Paige G., Slight, Sarah P., Chang, Frank Y., Topaz, Maxim, Bates, David W., Zhou, Li
Format: Artigo
Language:Inglês
Published: Oxford University Press 2016
Subjects:
Research and Applications
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC4954633/
https://ncbi.nlm.nih.gov/pubmed/26384406
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamia/ocv128
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