Clinical annotations for prostate cancer research: Defining data elements, creating a reproducible analytical pipeline, and assessing data quality.

Niamh M KeeganSamantha E VasselmanEthan S BarnettBarbara NwejiEmily A CarboneAlexander BlumMichael J MorrisDana E RathkopfSusan F SlovinDaniel C DanilaKaren A AutioHoward I ScherPhilip W KantoffWassim AbidaKonrad H Stopsack

Published in: The Prostate (2022)

With a prostate cancer-specific data dictionary and quality control measures, manual clinical annotations by a multidisciplinary team can be scalable and reproducible. The data dictionary and the R package for reproducible data processing are freely available to increase data quality and efficiency in clinical prostate cancer research.

Keyphrases

prostate cancer
electronic health record
big data
radical prostatectomy
quality control
quality improvement
data analysis
machine learning