Data mining in cancer research: Application nNotes

Paulo J G Lisboa, Alfredo Vellido, Roberto Tagliaferri, Francesco Napolitano, Michele Ceccarelli, Jose D. Martín-Guerrero, Elia Biganzoli

Research output: Contribution to journalArticle

34 Citations (Scopus)

Abstract

Advances in cancer medicine have traditionally come from detailed understanding of biological processes, later translated into therapeutic interventions, whose effectiveness is established by rigorous analysis of clinical trials. Over the last two decades the increasing throughput of data from microarray screening, spectral imaging and longitudinal studies are turning the understanding of cancer pathology into as much a data-based as a biologically and clinically driven science, with potential to impact more strongly on evidence-based decision support moving towards personalized medicine [1].

Original languageEnglish
Article number5386112
Pages (from-to)14-18
Number of pages5
JournalIEEE Computational Intelligence Magazine
Volume5
Issue number1
DOIs
Publication statusPublished - 1 Feb 2010
Externally publishedYes

Fingerprint

Medicine
Data mining
Cancer
Data Mining
Spectral Imaging
Longitudinal Study
Pathology
Microarrays
Decision Support
Microarray
Clinical Trials
Screening
Throughput
Imaging techniques
Evidence

ASJC Scopus subject areas

  • Artificial Intelligence
  • Theoretical Computer Science

Cite this

Lisboa, P. J. G., Vellido, A., Tagliaferri, R., Napolitano, F., Ceccarelli, M., Martín-Guerrero, J. D., & Biganzoli, E. (2010). Data mining in cancer research: Application nNotes. IEEE Computational Intelligence Magazine, 5(1), 14-18. [5386112]. https://doi.org/10.1109/MCI.2009.935311

Data mining in cancer research : Application nNotes. / Lisboa, Paulo J G; Vellido, Alfredo; Tagliaferri, Roberto; Napolitano, Francesco; Ceccarelli, Michele; Martín-Guerrero, Jose D.; Biganzoli, Elia.

In: IEEE Computational Intelligence Magazine, Vol. 5, No. 1, 5386112, 01.02.2010, p. 14-18.

Research output: Contribution to journalArticle

Lisboa, PJG, Vellido, A, Tagliaferri, R, Napolitano, F, Ceccarelli, M, Martín-Guerrero, JD & Biganzoli, E 2010, 'Data mining in cancer research: Application nNotes', IEEE Computational Intelligence Magazine, vol. 5, no. 1, 5386112, pp. 14-18. https://doi.org/10.1109/MCI.2009.935311
Lisboa PJG, Vellido A, Tagliaferri R, Napolitano F, Ceccarelli M, Martín-Guerrero JD et al. Data mining in cancer research: Application nNotes. IEEE Computational Intelligence Magazine. 2010 Feb 1;5(1):14-18. 5386112. https://doi.org/10.1109/MCI.2009.935311
Lisboa, Paulo J G ; Vellido, Alfredo ; Tagliaferri, Roberto ; Napolitano, Francesco ; Ceccarelli, Michele ; Martín-Guerrero, Jose D. ; Biganzoli, Elia. / Data mining in cancer research : Application nNotes. In: IEEE Computational Intelligence Magazine. 2010 ; Vol. 5, No. 1. pp. 14-18.
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