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

Research output: Contribution to journalArticlepeer-review

Authors

Colleges, School and Institutes

Abstract

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.

Details

Original languageEnglish
Pages (from-to)583-584
JournalEuropean Journal of Gynaecological Oncology
Volume21
Issue number6
Publication statusPublished - 2000

Keywords

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

ASJC Scopus subject areas