@article{58,
  author = {Chao liu, Zuhua Jiang , Bin Chen, Yongwen Huang, Di Lu, Yi Ma },
  title = {An Expert Acquiring Method of Diagnosis and Senario Based on Maximum Knowledge Entropy },
  journal = {International Journal of Web Applications},
  year = {2009},
  volume = {1},
  number = {2},
  doi = {},
  url = {http://dline.info/ijwa/fulltext/v1n204.pdf},
  abstract = {The objective of this study is to present an Improved REX-1 method, rationalize the essential difference of Knowledge and information in medical practice. It aims at fi ghting for the effective and effi cient Expert-diagnosis process when various symptoms are to be distributed by the root knowledge mainbody in health care knowledge fl ow. The IREX-1 method can eliminate decision tree, creatively abstract knowledge entropy so as to improve the speed and accuracy of diagnosis- decision results. On this purpose, the authors use digestive diseases diagnosis prototype to justify the validity of this method, and do the comparison with renowned ID3,C4.5, ILA, ILA, 2 and original REX-1 algorithms when used in medical health care expert-diagnosis situation.},
}