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.
Original language | English |
---|---|
Pages (from-to) | 583-584 |
Journal | European Journal of Gynaecological Oncology |
Volume | 21 |
Issue number | 6 |
Publication status | Published - 2000 |
Keywords
- artificial neural networks
- survival prediction
- ovarian carcinoma
- preliminary results
ASJC Scopus subject areas
- Health Professions(all)
- Medicine(all)