VATE: VAlidation of high TEchnology based on large database analysis by learning machine

E Meldolesi, J Van Soest, A R Alitto, R Autorino, N Dinapoli, A Dekker, M A Gambacorta, R Gatta, L Tagliaferri, A Damiani, V Valentini

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

The interaction between implementation of new technologies and different outcomes can allow a broad range of researches to be expanded. The purpose of this paper is to introduce the VAlidation of high TEchnology based on large database analysis by learning machine (VATE) project that aims to combine new technologies with outcomes related to rectal cancer in terms of tumor control and normal tissue sparing. Using automated computer bots and the knowledge for screening data it is possible to identify the factors that can mostly influence those outcomes. Population-based observational studies resulting from the linkage of different datasets will be conducted in order to develop predictive models that allow physicians to share decision with patients into a wider concept of tailored treatment.
Original languageEnglish
Pages (from-to)435-450
Number of pages16
JournalColorectal Cancer
Volume3
Issue number5
DOIs
Publication statusPublished - 2014

Keywords

  • cancer control
  • cancer patient
  • data base
  • human
  • information technology
  • machine learning
  • observational study
  • ontology
  • patient coding
  • personalized medicine
  • privacy
  • rectum cancer
  • review
  • standardization

Cite this

Meldolesi, E., Van Soest, J., Alitto, A. R., Autorino, R., Dinapoli, N., Dekker, A., Gambacorta, M. A., Gatta, R., Tagliaferri, L., Damiani, A., & Valentini, V. (2014). VATE: VAlidation of high TEchnology based on large database analysis by learning machine. Colorectal Cancer, 3(5), 435-450. https://doi.org/10.2217/crc.14.34