Validity of an Automated Algorithm to Identify Cirrhosis Using Electronic Health Records in Patients with Primary Biliary Cholangitis.

Mei LuChristopher L BowlusKeith LindorCarla V Rodriguez-WatsonRobert J RomanelliIrina V HallerHeather D AndersonJeffrey J VanWormerJoseph A BoscarinoMark A SchmidtYihe G DaidaAmandeep SahotaJennifer VincentJia LiSheri TrudeauLoralee B RuppStuart C Gordonnull null

Published in: Clinical epidemiology (2020)

An algorithm using laboratory results and DPCs can categorize a majority of PBC patients as cirrhotic or noncirrhotic with high accuracy (with a small remaining group of patients' cirrhosis status indeterminate). In the absence of biopsy data, this EHR-based model can be used to identify cirrhosis in cohorts of PBC patients for research and/or clinical follow-up.

Keyphrases

electronic health record
end stage renal disease
newly diagnosed
prognostic factors
deep learning
patient reported
ulcerative colitis