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.
|Number of pages||2|
|Journal||European Journal of Gynaecological Oncology|
|Publication status||Published - 1 Jan 2000|