Artificial neural networks and survival prediction in ovarian carcinoma

被引：0
|
作者：
Kehoe, S [1 ]
Lowe, D
Powell, JE
Vincente, B
机构：
[1] Birmingham Womens Hosp, Dept Gynaecol Oncol, Birmingham B15 2TG, W Midlands, England
[2] Aston Univ, Dept Comp Sci & Appl Math, Birmingham B4 7ET, W Midlands, England
[3] Univ Birmingham, Dept Publ Hlth & Epidemiol, Birmingham, W Midlands, England
来源：
EUROPEAN JOURNAL OF GYNAECOLOGICAL ONCOLOGY | 2000年 / 21卷 / 06期
关键词：
ovarian cancer; prognosis; neural network;
D O I：
暂无
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
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 map permit further elucidation of outcome and influence management.
引用
收藏
页码：583 / 584
页数：2
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