首页    期刊浏览 2024年09月15日 星期日
登录注册

文章基本信息

  • 标题:Performance Analysis and Optimization of Supervised Learning Techniques for Medical Diagnosis Using Open Source Tools
  • 本地全文:下载
  • 作者:Vidyullatha Pellakuri ; Deepthi Gurram ; Dr.D. Rajeswara Rao
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2015
  • 卷号:6
  • 期号:1
  • 页码:380-383
  • 出版社:TechScience Publications
  • 摘要:Data mining initiates the recent advances and applications in the promising areas of medicine and biology around the world. In the medical diagnosis, it is difficult for the experts to observe disease with assurance. By using data mining techniques, this problem can be solved. This paper intends to provide the current techniques in data mining which are in use in today’s medical research particularly in Orthopaedic diagnosis. This paper presents a comparative study of different classification techniques using two open source data mining tools named WEKA and TANAGRA. The aim of this paper is to analyze the performance of different classification techniques for a set of Orthopaedic (muscularskeletal) data.
  • 关键词:Classification; Data Mining; Orthopaedic;Tanagra; Weka.
国家哲学社会科学文献中心版权所有