首页    期刊浏览 2024年11月03日 星期日
登录注册

文章基本信息

  • 标题:Prognosis and Early Diagnosis of Ductal and Lobular Type in Breast Cancer Patient
  • 其他标题:Prognosis and Early Diagnosis of Ductal and Lobular Type in Breast Cancer Patient
  • 本地全文:下载
  • 作者:Houriyeh EHTEMAM ; Mitra MONTAZERI ; Reza KHAJOUEI
  • 期刊名称:Iranian Journal of Public Health
  • 印刷版ISSN:2251-6085
  • 电子版ISSN:2251-6093
  • 出版年度:2017
  • 卷号:46
  • 期号:11
  • 页码:1563-1571
  • 语种:English
  • 出版社:Tehran University of Medical Sciences
  • 摘要:AbstractBackground: Breast cancer is one of the most common cancers with a high mortality rate among women. Prognosis and early diagnosis of breast cancer among women society reduce considerable rate of their mortality. Nowadays, due to this illness, try to be setting up intelligent systems, which can predict and early diagnose this cancer, and reduce mortality of women society.Methods: Overall, 208 samples were collected from 2014 to 2015 from two oncologist offices and Javadalaemeh Clinic in Kerman, southeastern Iran. Data source was medical records of patients, then 64 data mining models in MATLAB and WEKA software were used, eventually these measured precision and accuracy of data mining models.Results: Among 64 data mining models, Bayes-Net model had 95.67% of accuracy and 95.70% of precision; therefore, was introduced as the best model for prognosis and diagnosis of breast cancer.Conclusion: Intelligent and reliable data mining models are proposed. Hence, these models are recommended as a useful tool for breast cancer prediction as well as medical decision-making.
  • 关键词:Diagnosis; Breast cancer; Ductal and lobular; Data mining models
国家哲学社会科学文献中心版权所有