Distributed learning on 20 000+ lung cancer patients - The Personal Health Train

Timo M. Deist, Frank J. W. M. Dankers, Priyanka Ojha, M. Scott Marshall, Tomas Janssen, Corinne Faivre-Finn, Carlotta Masciocchi, Vincenzo Valentini, Jiazhou Wang, Jiayan Chen, Zhen Zhang, Emiliano Spezi, Mick Button, Joost Jan Nuyttens, Rene Vernhout, Johan van Soest, Arthur Jochems, Rene Monshouwer, Johan Bussink, Gareth PricePhilippe Lambin, Andre Dekker*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Original languageEnglish
Pages (from-to)189-200
Number of pages12
JournalRadiotherapy and Oncology
Volume144
DOIs
Publication statusPublished - Mar 2020

Keywords

  • Lung cancer
  • Big data
  • Distributed learning
  • Federated learning
  • Machine learning
  • Survival analysis
  • Prediction modeling
  • FAIR data
  • CARE

Cite this

Deist, T. M., Dankers, F. J. W. M., Ojha, P., Marshall, M. S., Janssen, T., Faivre-Finn, C., Masciocchi, C., Valentini, V., Wang, J., Chen, J., Zhang, Z., Spezi, E., Button, M., Nuyttens, J. J., Vernhout, R., van Soest, J., Jochems, A., Monshouwer, R., Bussink, J., ... Dekker, A. (2020). Distributed learning on 20 000+ lung cancer patients - The Personal Health Train. Radiotherapy and Oncology, 144, 189-200. https://doi.org/10.1016/j.radonc.2019.11.019