Predicting Disease-Free Lung Cancer Survival Using Patient Reported Outcome (PRO) Measurements with Comparisons of Five Machine Learning Techniques (MLT).

Journal: Studies in health technology and informatics
Published Date:

Abstract

The study was to develop the lung cancer patients' prediction model for predicting 5-year survival after completion of treatment by using Machine Learning Technology (MLT), adding patient reporting (PRO) measurements of lung cancer survivors to a variety of clinical parameters. Finally, the survival prediction models with the addition of lung cancer survivors' PRO measurements to the well-known clinical variables, based on diverse MLT, improved the predictive performance that explains 5-year disease-free lung cancer survival.

Authors

  • Jin-Ah Sim
    Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea.
  • Young Ho Yun
    Department of Biomedical Informatics, Seoul National University College of Medicine, Seoul, Korea.