Weber J E, Bartels P H, Griswold W, Kuhn W, Paplanus S H, Graham A R
Department of Statistics, University of Arizona, Tucson 85721.
Anal Quant Cytol Histol. 1988 Apr;10(2):150-9.
A computer-based expert system for diagnosing colonic sections as normal, adenoma or adenocarcinoma is described, along with an evaluation of its performance. On the basis of its knowledge base, consisting of the values of diagnostic clues and their associated certainty factors for the possible diagnoses, the system will suggest the diagnosis for new cases presented to it. Using the data provided for 16 diagnostic clues, the system arrived at correct diagnoses for all cases of normal colon, for 49 of 50 cases of adenoma and for 48 of 49 cases of adenocarcinoma. Sample outputs from the expert system are presented and discussed, and the effects of possible alterations in the data base are considered.
本文描述了一个用于将结肠切片诊断为正常、腺瘤或腺癌的基于计算机的专家系统，并对其性能进行了评估。该系统基于其知识库（由诊断线索的值及其与可能诊断相关的确定性因子组成），将为提交给它的新病例提出诊断建议。利用提供的16条诊断线索的数据，该系统对所有正常结肠病例、50例腺瘤病例中的49例以及49例腺癌病例中的48例都做出了正确诊断。文中展示并讨论了专家系统的示例输出，并考虑了数据库中可能更改所带来的影响。
