A Decision-making Model Based On CBR-RBR Applications In Cancer Treatment Options

According to statistics, cancer is a growing trend to endanger human life, Giving the dawn to these threatened lives, the doctor who be able to make a diagnosis quickly and accurately, and able to give appropriate treatment project.At present, the lack of senior medical staff is a major problem, he expert system development greatly alleviate the current situation for the shortage of medical staff, So far, the expert system be a fat lot used in treatment of cancer by analyzing the development situation of the expert system that was existed in domestic and international. After analyzing these circumstances in this article, we confirm a research direction, research and development of decision-making model that applications in cancer diagnosis and treatment is belongs to the core content of the relations expert system. CBR-RBR-based fusion model was confirmed after researching the several of consequence methods. We can avoid the lack of a single algorithm, And can be full use of the advantages of each algorithm the testing of a hospital’s actual data can help us to get good effect based on CBR-RBR fusion model, meanwhile the sensitivity, specificity and accuracy are improved in this testing. By contrast analysis with the other model, the comprehensive index are in the forefront of the various models.