A Natural Language Processing-Assisted Extraction System for Gleason Scores: Development and Usability Study.

ABSTRACT:

Background

Natural language processing (NLP) offers significantly faster variable extraction compared to traditional human extraction but cannot interpret complicated notes as well as humans can. Thus, we hypothesized that an "NLP-assisted" extraction system, which uses humans for complicated notes and NLP for uncomplicated notes, could produce faster extraction without compromising accuracy.

Objective

The aim of this study was to develop and pilot an NLP-assisted extraction system to leverage the strengths of both human and NLP extraction of prostate cancer Gleason scores.

Methods

We collected all available clinical and pathology notes for prostate cancer patients in an unselected academic biobank cohort. We developed an NLP system to extract prostate cancer Gleason

SUBMITTER: Yu S 

PROVIDER: S-EPMC8285739 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature