EXTraction of EMR numerical data: an efficient and generalizable tool to EXTEND clinical research

EXTraction of EMR numerical data: an efficient and generalizable tool to EXTEND clinical research

Abstract Background Electronic medical records (EMR) contain numerical data important for clinical outcomes research, such as vital signs and cardiac ejection fractions (EF), which tend to be embedded in narrative clinical notes. In current practice, this data is often manually extracted for use in...

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Bibliographic Details
Main Authors: Tianrun Cai, Luwan Zhang, Nicole Yang, Kanako K. Kumamaru, Frank J. Rybicki, Tianxi Cai, Katherine P. Liao
Format: Article
Language:English
Published: BMC 2019-11-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Natural language processing
Data mining
EMR
Numerical data
Big data
Data extraction
Online Access:http://link.springer.com/article/10.1186/s12911-019-0970-1

Internet

http://link.springer.com/article/10.1186/s12911-019-0970-1

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