PRODIGE: PRediction models in prOstate cancer for personalized meDIcine challenGE

A. R. Alitto, R. Gatta, B. G. L. Vanneste, M. Vallati, E. Meldolesi, A. Damiani, V. Lanzotti, G. C. Mattiucci, V. Frascino, C. Masciocchi*, F. Catucci, A. Dekker, P. Lambin, V. Valentini, G. Mantini

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Original languageEnglish
Pages (from-to)2171-2181
Number of pages11
JournalFuture Oncology
Volume13
Issue number24
DOIs
Publication statusPublished - Oct 2017

Keywords

  • Decision Support System
  • individualized medicine
  • large database
  • machine learning
  • ontology
  • predictive model
  • STANDARDIZED DATA-COLLECTION
  • DECISION-SUPPORT-SYSTEMS
  • LEARNING HEALTH-CARE
  • RECTAL-CANCER
  • ONCOLOGY
  • RADIOTHERAPY
  • POPULATION
  • RADIOMICS
  • PROGNOSIS
  • PROTOTYPE

Cite this

Alitto, A. R., Gatta, R., Vanneste, B. G. L., Vallati, M., Meldolesi, E., Damiani, A., Lanzotti, V., Mattiucci, G. C., Frascino, V., Masciocchi, C., Catucci, F., Dekker, A., Lambin, P., Valentini, V., & Mantini, G. (2017). PRODIGE: PRediction models in prOstate cancer for personalized meDIcine challenGE. Future Oncology, 13(24), 2171-2181. https://doi.org/10.2217/fon-2017-0142