Handwork vs machine: a comparison of rheumatoid arthritis patient populations as identified from EHR free-text by diagnosis extraction through machine-learning or traditional criteria-based chart review

Handwork vs machine: a comparison of rheumatoid arthritis patient populations as identified from EHR free-text by diagnosis extraction through machine-learning or traditional criteria-based chart review

Abstract Background Electronic health records (EHRs) offer a wealth of observational data. Machine-learning (ML) methods are efficient at data extraction, capable of processing the information-rich free-text physician notes in EHRs. The clinical diagnosis contained therein represents physician exper...

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Bibliographic Details
Main Authors: T. D. Maarseveen, M. P. Maurits, E. Niemantsverdriet, A. H. M. van der Helm-van Mil, T. W. J. Huizinga, R. Knevel
Format: Article
Language:English
Published: BMC 2021-06-01
Series:Arthritis Research & Therapy
Subjects:
Rheumatoid arthritis
Machine learning algorithms
EHR
Electronic health records
Artificial intelligence
Classification criteria
Online Access:https://doi.org/10.1186/s13075-021-02553-4

Internet

https://doi.org/10.1186/s13075-021-02553-4

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