Case-based Retrieval Approach of Clinical Breast Cancer Patients

被引：6

作者：

Ayeldeen, Heba ^{[1
]}

Abd Elfattah, Mohamed ^{[2
]}

Shaker, Olfat ^{[3
]}

Hassanien, Aboul Ella ^{[1
]}

Kim, Tai-Hoon ^{[4
]}

机构：

[1] Cairo Univ, Fac Comp & Informat, Cairo, Egypt

[2] Mansoura Univ, Fac Comp & Informat, Mansoura, Egypt

[3] Fac Med, Dept Med Biochem & Mol Biol, Cairo, Egypt

[4] Sungshin Womens Univ, Dept Convergence Secur, Seoul, South Korea

来源：

2015 3RD INTERNATIONAL CONFERENCE ON COMPUTER, INFORMATION AND APPLICATION | 2015年

关键词：

CBR; case-library; RF; carcinoma; optimization; prediction;

D O I：

10.1109/CIA.2015.17

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Breast cancer is a syndrome that needs to be evaluated and well treated on the early stages to avoid any metastasis stage upgrading. Not just medical treatment is acquired, but also the usage of artificial intelligence and software technologies aid in the early detection of breast cancer. After using Case-based Reasoning as a knowledge management as well as artificial intelligence system with Random Forest classifier, result yields to overall accuracy of 99%.

引用

页码：38 / 41

页数：4

共 12 条

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