Artificial neural networks and survival prediction in ovarian Carcinoma

S Kehoe, D Lowe, Judith Powell, B Vincente

    Research output: Contribution to journalArticle

    8 Citations (Scopus)


    The standard use of known survival predictors for ovarian cancer in clinical practice are primarily based on disease stage. This does not permit a real individualization of a patient's potential outcome. This study assessed the value of neural networks to refine the prediction of survival based only on information gleaned at primary surgery. The possibility exists that such methods may permit further elucidation of outcome and influence management.
    Original languageEnglish
    Pages (from-to)583-584
    Number of pages2
    JournalEuropean Journal of Gynaecological Oncology
    Publication statusPublished - 1 Jan 2000


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