Du Boulay G H, Teather D, Harling D, Clarke G
Br J Radiol. 1977 Dec;50(600):849-54. doi: 10.1259/0007-1285-50-600-849.
Most applications of Bayes theorem in computer-aided diagnosis have been to situations involving the differential diagnosis of a small list of disease categories. In the case of the diagnosis of cerebral tumours, if each tumour type in each main anatomical situation is counted as a single diagnosis, there are about 100 possible disease categories. This paper investigates a method of incorporating expert prior information into the computer-aided diagnosis process so that this large number of categories can be handled.
贝叶斯定理在计算机辅助诊断中的大多数应用都涉及一小部分疾病类别的鉴别诊断。以脑肿瘤诊断为例，如果将每种主要解剖情况下的每种肿瘤类型都视为一种单独的诊断，那么可能的疾病类别约有100种。本文研究了一种将专家先验信息纳入计算机辅助诊断过程的方法，以便能够处理如此众多的类别。
