Text Mining of Electronic Health Records Can Accurately Identify and Characterize Patients With Systemic Lupus Erythematosus.

Tammo E BrunekreefHenny G OttenSuzanne C van den BoschImo E HoeferJacob M van LaarMaarten LimperSaskia Haitjema

Published in: ACR open rheumatology (2021)

We present a text mining algorithm that can accurately identify and characterize patients with SLE using routinely collected data from the EHR. Our study shows that using text mining, data from the EHR can be reused in research and quality control.

Keyphrases

electronic health record
quality control
smoking cessation
clinical decision support
adverse drug
systemic lupus erythematosus
machine learning
deep learning
disease activity