An Interoperable Similarity-based Cohort Identification Method Using the OMOP Common Data Model Version 5.0

Cohort identification for clinical studies tends to be laborious, time-consuming, and expensive. Developing automated or semi-automated methods for cohort identification is one of the “holy grails” in the field of biomedical informatics. We propose a high-throughput similarity-based cohort identific...

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Vydáno v:J Healthc Inform Res
Hlavní autoři: Chakrabarti, Shreya, Sen, Anando, Huser, Vojtech, Hruby, Gregory W., Rusanov, Alexander, Albers, David J., Weng, Chunhua
Médium: Artigo
Jazyk:Inglês
Vydáno: Springer International Publishing 2017
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Research Article
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC5536903/
https://ncbi.nlm.nih.gov/pubmed/28776047
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s41666-017-0005-6
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