Research output

Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers

Research output: Contribution to journalArticleAcademicpeer-review

Associated researcher

  • Deist, T. M.
  • Valdes, G.
  • Wijsman, R.
  • Hsu, I.
  • Lustberg, T.
  • El Naqa, I.
  • Morin, O.
  • Raleigh, D. R.
  • Bots, W.
  • Kaanders, J. H.
  • Belderbos, J.
  • Kwint, M.
  • Solberg, T.
  • Monshouwer, R.
  • Bussink, J.

Associated organisations

    Research areas

  • classification, machine learning, outcome prediction, predictive modeling, radiotherapy, CELL LUNG-CANCER, MODULATED RADIATION-THERAPY, ACUTE ESOPHAGEAL TOXICITY, SURVIVAL PREDICTION, RADIOTHERAPY, MODEL, VALIDATION, BIOMARKERS, Chemoradiotherapy/adverse effects, Prognosis, Area Under Curve, Humans, Logistic Models, Machine Learning, Neoplasms/diagnosis, Software, Decision Trees, Neural Networks (Computer)
View graph of relations


Original languageEnglish
Pages (from-to)3449-3459
Number of pages11
JournalMedical Physics
Issue number7
Publication statusPublished - 1 Jul 2018