Development and Validation of a Tool to Identify Patients Diagnosed With Castration-Resistant Prostate Cancer.

Danielle Candelieri-Surette Anna Hung Julie A LynchKathryn M PridgenFatai Y AgiriWeiyan LiHimani Aggarwal Tori Anglin-Foote Kyung Min LeeCristina PerezShelby D Reed Scott L DuvallYu-Ning WongPatrick R Alba

Published in: JCO clinical cancer informatics (2023)

ICD-10 codes proved to be insufficient for capturing CRPC in the VHA CDW data. Using both structured and unstructured data identified more than double the number of patients compared with ICD-10 codes alone. Application of this combined approach drastically improved identification of real-world patients and enables high-quality observational research in mCRPC.

Keyphrases

end stage renal disease
ejection fraction
newly diagnosed
prognostic factors
big data
machine learning
electronic health record
cross sectional