Thurmayr R, Otte M, Thurmayr R
Langenbecks Arch Chir. 1975 Nov;339:253-7. doi: 10.1007/BF01257515.
The use of multivariate nonlinear discriminant analysis raised the rate of correct classification for 585 pancreatic function tests from 84 percent by the doctor to 93 percent by computer analysis. In addition to the "normal" and "pancreatic" disease groups, a group of 388 patients was found in whom secretion levels were neither normal nor typical of pancreatic disease. For this group, nonpancreatic gastroenterologic disease was established with a diagnostic accuracy of 98 percent. Representation of secretion data by Andrews' method for the differentiation of pancreatitis from carcinoma allows moderately sensitive but highly specific testing.
多元非线性判别分析的应用将585例胰腺功能测试的正确分类率从医生判断的84%提高到了计算机分析的93%。除了“正常”和“胰腺疾病”组外,还发现了一组388例患者,其分泌水平既不正常也非胰腺疾病的典型表现。对于该组患者,非胰腺胃肠疾病的诊断准确率为98%。用安德鲁斯方法表示分泌数据以区分胰腺炎和癌症,能够进行中等敏感度但高特异性的检测。