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Master of Public Health

Automating the Determination of Prostate Cancer Risk Strata From Electronic Medical Records.

AUTHORS

Gregg JR , Lang M , Wang LL , Resnick MJ , Jain SK , Warner JL , Barocas DA , . JCO clinical cancer informatics. 2017 1 1; 1().

ABSTRACT

Risk stratification underlies system-wide efforts to promote the delivery of appropriate prostate cancer care. Although the elements of risk stratum are available in the electronic medical record, manual data collection is resource intensive. Therefore, we investigated the feasibility and accuracy of an automated data extraction method using natural language processing (NLP) to determine prostate cancer risk stratum.

Risk stratification underlies system-wide efforts to promote the delivery of appropriate prostate cancer care. Although the elements of risk stratum are available in the electronic medical record, manual data collection is resource intensive. Therefore, we investigated the feasibility and accuracy of an automated data extraction method using natural language processing (NLP) to determine prostate cancer risk stratum.

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