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  • 标题:An Approach to Develop Expert Systems in Medical Diagnosis Using Machine Learning Algorithms (Asthma) and A Performance Study
  • 本地全文:下载
  • 作者:BDCN Prasadl ; P. E. S. N Krishna Prasad ; Y Sagar
  • 期刊名称:International Journal on Soft Computing
  • 电子版ISSN:2229-7103
  • 出版年度:2011
  • 卷号:2
  • 期号:1
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:Machine Intelligence plays a crucial role in the design of expert systems in medical diagnosis. In India most of the people suffering from some sort of diseases like asthma, diabetics, cancer and many more. We consider the disease asthma for diagnosis. The diagnosis of asthma can be done in two ways 1) through questionnaire and 2) through clinical data. We considered both approaches to design the expert system for diagnosis of asthma. We have chosen some machine learning algorithms such as Context sensitive auto-associative memory neural network model[1] (CSAMM), Backpropogation model, C4.5 algorithm, Bayesian Network, Particle Swarm Optimization [7]. We present a performance study on these algorithms in terms of accuracy and some outstanding characteristics.
  • 关键词:Expert systems; Medical Diagnosis; Machine Intelligence algorithms; Context Sensitive Associative;memory model (CSAMM); PSO.
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