An electronic health record driven algorithm to identify incident antidepressant medication users

OBJECTIVE: We validated an algorithm designed to identify new or prevalent users of antidepressant medications via population-based drug prescription records. PATIENTS AND METHODS: We obtained population-based drug prescription records for the entire Olmsted County, Minnesota, population from 2011 t...

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保存先:
書誌詳細
主要な著者: Bobo, William V, Pathak, Jyotishman, Kremers, Hilal Maradit, Yawn, Barbara P, Brue, Scott M, Stoppel, Cynthia J, Croarkin, Paul E, St Sauver, Jennifer, Frye, Mark A, Rocca, Walter A
フォーマット: Artigo
言語:Inglês
出版事項: BMJ Publishing Group 2014
主題:
Focus on Biomedical Natural Language Processing and Data Modeling
オンライン･アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC4147111/
https://ncbi.nlm.nih.gov/pubmed/24780720
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/amiajnl-2014-002699
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