Identification of Patients With Metastatic Prostate Cancer With Natural Language Processing and Machine Learning.

Ruixin YangDi ZhuLauren E Howard Amanda M De Hoedt Stephen B Williams Stephen J Freedland Zachary Klaassen

Published in: JCO clinical cancer informatics (2022)

This population-level NLP model for identifying patients with mPCa was more accurate than using ICD9/10 billing codes when compared with chart-reviewed data. Upon further validation, this model may allow for efficient population-level identification of patients with mPCa.

Keyphrases

prostate cancer
machine learning
big data
radical prostatectomy
autism spectrum disorder
electronic health record
high resolution
artificial intelligence
deep learning
data analysis