Artificial neural networks and survival prediction in ovarian carcinoma.

S Kehoe, D Lowe, J E Powell, B Vincente
Author Information
  1. S Kehoe: Dept. of Gynaecological Oncology, The Birmingham Womens Hospital, Edgbaston, UK.

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.

MeSH Term

England
Female
Humans
Neural Networks, Computer
Ovarian Neoplasms
Predictive Value of Tests
Prognosis
ROC Curve
Survival Analysis

Word Cloud

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