Natural language processing and machine learning to assist radiation oncology incident learning.

Journal: Journal of applied clinical medical physics
Published Date: Oct 5, 2021

Abstract

PURPOSE: To develop a Natural Language Processing (NLP) and Machine Learning (ML) pipeline that can be integrated into an Incident Learning System (ILS) to assist radiation oncology incident learning by semi-automating incident classification. Our goal was to develop ML models that can generate label recommendations, arranged according to their likelihoods, for three data elements in Canadian NSIR-RT taxonomy.

Authors

  • Felix Mathew
    Medical Physics Unit, McGill University, Montreal, Quebec, H4A3J1, Canada.
  • Hui Wang
    Department of Vascular Surgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
  • Logan Montgomery
    Medical Physics Unit, McGill University, Montreal, Quebec, H4A3J1, Canada.
  • John Kildea
    Medical Physics Unit, McGill University Health Centre, Montreal, QC, Canada.

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