Artificial neural networks and survival prediction in ovarian carcinoma

The standard use of known survival predictors for ovarian cancer in clinica l practice are primarily based on disease stage. This does not permit a rea l individualization of a patient's potential outcome. This study assessed t he value of neural networks to refine the prediction of survival based only on information gleaned at primary surgery. The possibility exists that suc h methods map permit further elucidation of outcome and influence managemen t.