Development and Validation of a Machine Learning Approach Leveraging Real-World Clinical Narratives as a Predictor of Survival in Advanced Cancer.

Journal: JCO clinical cancer informatics
Published Date: Oct 1, 2022

Abstract

PURPOSE: Predicting short-term mortality in patients with advanced cancer remains challenging. Whether digitalized clinical text can be used to build models to enhance survival prediction in this population is unclear.

Authors

  • Frank Po-Yen Lin
    Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Darlinghurst, Australia.
  • Osama S M Salih
    Department of Medical Oncology, Waikato Hospital, Hamilton, New Zealand.
  • Nina Scott
    Waikato Clinical Campus, University of Auckland, Hamilton, New Zealand.
  • Michael B Jameson
    Department of Medical Oncology, Waikato Hospital, Hamilton, New Zealand.
  • Richard J Epstein
    Department of Oncology, St Vincent's Hospital, The Kinghorn Cancer Centre, 370 Victoria St, Darlinghurst, Sydney, Australia.

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