计算机与现代化 ›› 2013, Vol. 1 ›› Issue (3): 92-95.doi:

• 数据库与数据挖掘 • 上一篇    下一篇

BP神经网络的医学数据挖掘

施俊华1,叶保留2,李朝品3   

  1. 1.安徽理工大学计算机科学与工程学院,安徽淮南232001; 2.南京大学计算机科学与技术系,江苏南京210093; 3.皖南医学院,安徽芜湖241002
  • 收稿日期:2012-11-06 修回日期:1900-01-01 出版日期:2013-04-03 发布日期:2013-04-03

Medical Data Mining Based on BP Neural Network

SHI Jun-hua1, YE Bao-liu2, LI Chao-pin3   

  1. 1. School of Computer Science and Engineering, Anhui University of Science & Technology, Huainan 232001, China; 2. Department of Computer Science & Technology, Nanjing University, Nanjing 210093, China; 3. Wannan Medical College, Wuhu 241002, China
  • Received:2012-11-06 Revised:1900-01-01 Online:2013-04-03 Published:2013-04-03

摘要: 随着电子病历系统等一些临床信息系统的广泛使用,如何从医院的病历数据库中挖掘出更有价值的医学信息已成为当今一个研究热点。针对面向电子病历的医学数据挖掘,本文探讨和总结了医学数据挖掘体系结构、BP神经网络算法及应用,最后对面向电子病历的医学数据挖掘进行了展望。电子病历的医学数据挖掘的研究不但促进了电子病历系统向智能化、知识化方向发展,而且为医学研究做出了突出贡献。

关键词: 电子病历, 数据挖掘, 临床决策支持, BP神经网络, 糖尿病

Abstract: As the electronic medical record system and some clinical information systems are widely used, how to mine more valuable medical information from the medical record database of the hospital has become a research hotspot. For the medical data mining in electronic medical records, the article discusses and summarizes the structure of medical data mining, the BP neural network algorithm and application, finally looks into the future of the medical data mining in electronic medical records. The research of the medical data mining in electronic medical records not only promotes the development to the direction of intelligence and knowledge, and makes outstanding contributions for medical research.

Key words: electronic medical records, data mining, clinical decision support, BP neural network, diabetes