Applications of Machine learning in Prediction of Breast Cancer Incidence and Mortality

被引：0
|
作者：
Helal, Nadia [1 ]
Sarwat, Eman [1 ]
机构：
[1] Atom Energy Author, NCNSRC, Radiat Safety Dep, 3 Ahmed El Zomor St,POB 7551, Cairo 11762, Egypt
来源：
ARAB JOURNAL OF NUCLEAR SCIENCES AND APPLICATIONS | 2012年 / 45卷 / 04期
关键词：
In situ Breast Cancer; Artificial Neural Networks and Artificial Intelligence;
D O I：
暂无
中图分类号：
TL [原子能技术]; O571 [原子核物理学];
学科分类号：
0827 ; 082701 ;
摘要：
Breast cancer is one of the leading causes of cancer deaths for the female population in both developed and developing countries. In this work we have used the baseline descriptive data about the incidence (new cancer cases) of in situ breast cancer among Wisconsin females. The documented data were from the most recent 12-years period for which data are available. Wiscons in cancer incidence and mortality (deaths due to cancer) that occurred were also considered in this work. Artificial Neural network (ANN) have been successfully applied to problems in the prediction of the number of new cancer cases and mortality. Using artificial intelligence (AI) in this study, the numbers of new cancer cases and mortality that may occur are predicted.
引用
收藏
页码：193 / 200
页数：8
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