Artificial neural networks and survival prediction in ovarian carcinoma: preliminary results

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Colleges, School and Institutes


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
JournalEuropean Journal of Gynaecological Oncology
Issue number6
Publication statusPublished - 2000


  • artificial neural networks, survival prediction, ovarian carcinoma, preliminary results

ASJC Scopus subject areas