Machine learning in cancer research: Implications for personalised medicine

Alfredo Vellido, Elia Biganzoli, Paulo J G Lisboa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Driven by the growing demand of personalization of medical procedures, data-based, computer-aided cancer research in human patients is advancing at an accelerating pace, providing a broadening landscape of opportunity for Machine Learning methods. This landscape can be observed from the wide-reaching view of population studies down to the genotype detail. In this brief paper, we provide a sweeping glimpse, by no means exhaustive, of the state-of-the-art in this field at the different scales of data measurement and analysis.

Original languageEnglish
Title of host publicationESANN 2008 Proceedings, 16th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning
Pages55-64
Number of pages10
Publication statusPublished - 2008
Event16th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning, ESANN 2008 - Bruges, Belgium
Duration: Apr 23 2008Apr 25 2008

Other

Other16th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning, ESANN 2008
CountryBelgium
CityBruges
Period4/23/084/25/08

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ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems

Cite this

Vellido, A., Biganzoli, E., & Lisboa, P. J. G. (2008). Machine learning in cancer research: Implications for personalised medicine. In ESANN 2008 Proceedings, 16th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning (pp. 55-64)