Lucas P J, Segaar R W, Janssens A R
Department of Software Technology, Centre for Mathematics and Computer Science, Amsterdam, The Netherlands.
Liver. 1989 Oct;9(5):266-75. doi: 10.1111/j.1600-0676.1989.tb00410.x.
The HEPAR system is a medical expert system intended as a supportive tool for the diagnosis of disorders of the liver and biliary tract. In the system, the role of information from the medical interview, physical examination, and simple non-invasive diagnostic methods, such as ultrasonography, is emphasized in order to reduce the number of diagnostic procedures to be applied. Medical diagnosis is modelled in the system using the formalism of if-then rules. Based on patient data available, the system determines whether the data indicate a hepatocellular or a biliary obstructive disorder, and whether or not benign or malignant features are present. Moreover, the system produces a subset of possible diagnoses out of a set of more than 70 diagnostic categories. The system is still under development. In a preliminary study, the HEPAR system has been evaluated using data from 94 jaundiced patients. Conclusions with respect to the hepatocellular or biliary obstructive nature of the disorder, the benign or malignant nature of the disorder, and the final diagnosis, were reached in 95%, 65%, and 80% of the cases, respectively. These conclusions were correct in 85%, 92%, and 80% of the classified cases, respectively. The system was shown not to be sensitive to incompleteness of information.
HEPAR系统是一个医学专家系统,旨在作为诊断肝脏和胆道疾病的辅助工具。在该系统中,强调了来自医学问诊、体格检查以及简单非侵入性诊断方法(如超声检查)的信息的作用,以减少需应用的诊断程序数量。该系统使用if-then规则的形式主义对医学诊断进行建模。基于可用的患者数据,系统确定这些数据是否表明存在肝细胞性或胆道阻塞性疾病,以及是否存在良性或恶性特征。此外,该系统从70多个诊断类别中生成一组可能的诊断结果。该系统仍在开发中。在一项初步研究中,已使用94例黄疸患者的数据对HEPAR系统进行了评估。关于疾病的肝细胞性或胆道阻塞性性质、疾病的良性或恶性性质以及最终诊断的结论,分别在95%、65%和80%的病例中得出。这些结论在分别分类的病例中正确率分别为85%、92%和80%。结果表明该系统对信息不完整性不敏感。