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ADEPt, a semantically-enriched pipeline for extracting adverse drug events from free-text electronic health records

Adverse drug events (ADEs) are unintended responses to medical treatment. They can greatly affect a patient’s quality of life and present a substantial burden on healthcare. Although Electronic health records (EHRs) document a wealth of information relating to ADEs, they are frequently stored in the...

詳細記述

保存先:
書誌詳細
出版年:PLoS One
主要な著者: Iqbal, Ehtesham, Mallah, Robbie, Rhodes, Daniel, Wu, Honghan, Romero, Alvin, Chang, Nynn, Dzahini, Olubanke, Pandey, Chandra, Broadbent, Matthew, Stewart, Robert, Dobson, Richard J. B., Ibrahim, Zina M.
フォーマット: Artigo
言語:Inglês
出版事項: Public Library of Science 2017
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC5679515/
https://ncbi.nlm.nih.gov/pubmed/29121053
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0187121
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