Ever-Hadani S, Grover N B, Gordon A
Isr J Med Sci. 1977 Jun;13(6):577-81.
A binary-variable multiple-regression model is proposed for the computer diagnosis of thyroid disease. The procedure employs a multiple-regression technique in which each variable is assigned a value of either unity or zero. Unlike other current approaches, the proposed model uses only information about the patients themselves; no prior knowledge of the incidence of the disease in the population under study is required. The model was applied to data on 906 patients with suspected thyroid disorders referred to endocrine clinics in Israel. On the basis of simple physical findings and clinical signs and symptoms, the correct diagnosis was obtained in 95% of the cases for males and in 85% for females.
提出了一种用于甲状腺疾病计算机诊断的二元变量多元回归模型。该程序采用多元回归技术，其中每个变量被赋予1或0的值。与目前的其他方法不同，所提出的模型仅使用有关患者自身的信息；不需要对所研究人群中疾病的发病率有先验知识。该模型应用于以色列内分泌诊所转诊的906例疑似甲状腺疾病患者的数据。基于简单的体格检查结果以及临床体征和症状，男性病例中95%、女性病例中85%获得了正确诊断。
