Defining Disease Phenotypes in Primary Care Electronic Health Records by a Machine Learning Approach: A Case Study in Identifying Rheumatoid Arthritis

OBJECTIVES: 1) To use data-driven method to examine clinical codes (risk factors) of a medical condition in primary care electronic health records (EHRs) that can accurately predict a diagnosis of the condition in secondary care EHRs. 2) To develop and validate a disease phenotyping algorithm for rh...

詳細記述

保存先:
書誌詳細
出版年:PLoS One
主要な著者: Zhou, Shang-Ming, Fernandez-Gutierrez, Fabiola, Kennedy, Jonathan, Cooksey, Roxanne, Atkinson, Mark, Denaxas, Spiros, Siebert, Stefan, Dixon, William G., O’Neill, Terence W., Choy, Ernest, Sudlow, Cathie, Brophy, Sinead
フォーマット: Artigo
言語:Inglês
出版事項: Public Library of Science 2016
主題:
Research Article
オンライン･アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC4852928/
https://ncbi.nlm.nih.gov/pubmed/27135409
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0154515
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