Towards automated generation of curated datasets in radiology: Application of natural language processing to unstructured reports exemplified on CT for pulmonary embolism.

Journal: European journal of radiology
Published Date: Apr 1, 2020

Abstract

PURPOSE: To design and evaluate a self-trainable natural language processing (NLP)-based procedure to classify unstructured radiology reports. The method enabling the generation of curated datasets is exemplified on CT pulmonary angiogram (CTPA) reports.

Authors

  • Thomas Weikert
    From the Department of Radiology, University Hospital Basel, Basel, Switzerland.
  • Ivan Nesic
  • Joshy Cyriac
    Clinic of Radiology and Nuclear Medicine, University Hospital Basel, Petersgraben 4, 4031, Basel, Switzerland.
  • Jens Bremerich
    University Hospital Basel, Clinic of Radiology & Nuclear Medicine, University of Basel, Petersgraben 4, 4031 Basel, Switzerland.
  • Alexander W Sauter
    University of Basel, University Hospital Basel, Radiology and Nuclear Medicine Clinic, Basel, Switzerland.
  • Gregor Sommer
    University of Basel, University Hospital Basel, Radiology and Nuclear Medicine Clinic, Basel, Switzerland.
  • Bram Stieltjes
    University of Basel, University Hospital Basel, Radiology and Nuclear Medicine Clinic, Basel, Switzerland.

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