信息融合熵在临床诊断中的应用研究

Research of the information fusion entropy in the clinical diagnosis application

本文详细介绍信息融合熵理论在医疗临床诊断中的应用,为临床定量诊断提供一种新思路。利用信息论熵的相关理论和D-S证据理论,提出一种基于信息熵和D-S证据理论的多征候信息融合诊断方法。以肠梗阻疾病诊断为例,论述实际诊断应用中该方法的应用,并证明该方法可有效提高诊断结果的正确性。

This paper introduced the information fusion entropy in the Medical clinical diagnosis application,providing a new way for clinical quantitative diagnosis. Adopting the information theory,entropy theory and D-S evidence theory,we proposed the information fusion of multi-symptom diagnosis algorithm based on the information entropy and the D-S evidence theory; Finally,using the intestinal disease diagnosis for example,we discussed the concrete realization of the process of the algorithm proposed,the analysis and simulation results show that it is a practical approach ,reducing the uncertainty of the system output obviously.