Kinney E L, Brafman D, Wright R J
Cardiology Division, University of Miami School of Medicine, Florida 33101.
Comput Biomed Res. 1988 Apr;21(2):169-73. doi: 10.1016/0010-4809(88)90024-9.
We constructed an expert system on the diagnosis of ascites, using a combination of case reports and unpublished patient data. Rule production was by induction from examples, and the program operated on an algorithm which was a modification of Quinlan's ID3. The result was a small, but formally complete expert system. When tested against a new data set of patients, our expert system predicted the clinical diagnosis 82% of the time.
我们利用病例报告和未发表的患者数据相结合的方式构建了一个关于腹水诊断的专家系统。规则生成是通过对实例进行归纳得出的,并且该程序基于对昆兰的ID3算法进行修改后的一种算法运行。结果得到了一个小型但形式完备的专家系统。当针对一组新的患者数据集进行测试时,我们的专家系统在82%的情况下预测出了临床诊断结果。