Development of a Machine Learning Model Using Limited Features to Predict 6-Month Mortality at Treatment Decision Points for Patients With Advanced Solid Tumors.

Journal: JCO clinical cancer informatics
Published Date:

Abstract

PURPOSE: Patients with advanced solid tumors may receive intensive treatments near the end of life. This study aimed to create a machine learning (ML) model using limited features to predict 6-month mortality at treatment decision points (TDPs).

Authors

  • George Chalkidis
    Hitachi, Ltd, Tokyo, Japan.
  • Jordan McPherson
    Huntsman Cancer Institute, Salt Lake City, UT.
  • Anna Beck
    Huntsman Cancer Institute, Salt Lake City, UT.
  • Michael Newman
    University of Utah Health, Salt Lake City, UT.
  • Shuntaro Yui
    Hitachi, Ltd, Tokyo, Japan.
  • Catherine Staes
    College of Nursing, University of Utah, Salt Lake City, UT.