Research on medical diagnostic decision-making based on attribute reduction and support vector machines
Zhonghui Hu, Yuangui Li, Yunze Cai, Xiaoming Xu · 2004
The method of attribute reduction is applied to medical diagnostic decision by combining basic theory of support vector machines for nonlinear classification. Decision-making performance of the proposed method is compared with that of the conventional methods. The results indicate our method can decrease the computation complexity and memory requirement a lot, particularly for the large and high dimension data set. Furthermore, the decision-making power remains still good.