Natural language processing to identify ureteric stones in radiology reports.
Journal:
Journal of medical imaging and radiation oncology
Published Date:
Jun 1, 2019
Abstract
INTRODUCTION: Natural language processing (NLP) is an emerging tool which has the ability to automate data extraction from large volumes of unstructured text. One of the main described uses of NLP in radiology is cohort building for epidemiological studies. This study aims to assess the accuracy of NLP in identifying a group of patients positive for ureteric stones on Computed Tomography - Kidneys, Ureter, Bladder (CT KUB) reports.