Comparative analysis, applications, and interpretation of electronic health record-based stroke phenotyping methods

Comparative analysis, applications, and interpretation of electronic health record-based stroke phenotyping methods

Abstract Background Accurate identification of acute ischemic stroke (AIS) patient cohorts is essential for a wide range of clinical investigations. Automated phenotyping methods that leverage electronic health records (EHRs) represent a fundamentally new approach cohort identification without curre...

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Bibliographic Details
Main Authors: Phyllis M. Thangaraj, Benjamin R. Kummer, Tal Lorberbaum, Mitchell S. V. Elkind, Nicholas P. Tatonetti
Format: Article
Language:English
Published: BMC 2020-12-01
Series:BioData Mining
Subjects:
Phenotyping algorithms
Acute ischemic stroke
Machine learning
Electronic health record studies
Online Access:https://doi.org/10.1186/s13040-020-00230-x

Internet

https://doi.org/10.1186/s13040-020-00230-x

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