Skip to main navigation Skip to search Skip to main content

'Rapid Learning health care in oncology' - an approach towards decision support systems enabling customised radiotherapy'

  • Philippe Lambin
  • , Erik Roelofs
  • , Bart Reymen
  • , Emmanuel Rios Velazquez
  • , Jeroen Buijsen
  • , Catharina M.L. Zegers
  • , Sara Carvalho
  • , Ralph T.H. Leijenaar
  • , Georgi Nalbantov
  • , Cary Oberije
  • , M. Scott Marshall
  • , Frank Hoebers
  • , Esther G.C. Troost
  • , Ruud G.P.M. Van Stiphout
  • , Wouter Van Elmpt
  • , Trudy Van Der Weijden
  • , Liesbeth Boersma
  • , Vincenzo Valentini
  • , Andre Dekker

Research output: Contribution to journalArticle

Abstract

An overview of the Rapid Learning methodology, its results, and the potential impact on radiotherapy.
Original languageEnglish
Pages (from-to)159-164
Number of pages6
JournalRadiotherapy and Oncology
Volume109
DOIs
Publication statusPublished - 2013

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Cancer
  • Decision support system (DSS)
  • Radiotherapy
  • Rapid Learning
  • Tailored radiation treatment

Fingerprint

Dive into the research topics of ''Rapid Learning health care in oncology' - an approach towards decision support systems enabling customised radiotherapy''. Together they form a unique fingerprint.

Cite this