An artificial neural network for analysing the survival of patients with colorectal cancer

R. Bittern, A. Cuschieri, S.D. Dolgobrodov, R. Marshall, P. Moore, R.J.C. Steele

    Research output: Chapter in Book/Report/Conference proceedingChapter

    3 Citations (Scopus)

    Abstract

    An internet/web based artificial neural network has been developed for use by practicing clinical oncologists and medical researchers as part of a programme to aid decision making and eventually, the management and treatment of individual patients with colorectal cancer. We have configured and implemented a Partial Likelihood Artificial Neural Network (PLANN) and trained it to predict cancer related survival in patients with confirmed colorectal cancer using a database provided by the Clinical Resource and Audit Group (CRAG) in Scotland. The reliability of the trained PLANN was evaluated against Kaplan- Meier (KM) actual survival plots and shows close agreement with them.
    Original languageEnglish
    Title of host publicationESANN 2005 Proceedings - 13th European Symposium on Artificial Neural Networks
    Pages103-108
    Number of pages6
    Publication statusPublished - 2007
    Event13th European Symposium on Artificial Neural Networks, ESANN 2005 - Bruges, Belgium
    Duration: 27 Apr 200529 Apr 2005

    Conference

    Conference13th European Symposium on Artificial Neural Networks, ESANN 2005
    CountryBelgium
    CityBruges
    Period27/04/0529/04/05

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  • Cite this

    Bittern, R., Cuschieri, A., Dolgobrodov, S. D., Marshall, R., Moore, P., & Steele, R. J. C. (2007). An artificial neural network for analysing the survival of patients with colorectal cancer. In ESANN 2005 Proceedings - 13th European Symposium on Artificial Neural Networks (pp. 103-108)