Lucas P J, Janssens A R
Department of Medical Physics and Informatics, University of Amsterdam, The Netherlands.
Liver. 1991 Dec;11(6):340-6. doi: 10.1111/j.1600-0676.1991.tb00540.x.
HEPAR is an expert system which can be used as a supportive tool in the diagnosis of disorders of the liver and biliary tract. When consulted for a particular patient, the system assesses the patient's disorder in two stages. In the first stage, data of medical history, physical examination and routine laboratory tests are used to determine whether the disorder is hepatocellular or biliary obstructive, and whether benign or malignant features are present. In the second stage, the system produces a differential diagnosis out of a set of 80 disease categories, using the conclusions of the first stage of the assessment and the results of a restricted number of supplementary investigations, i.e. serological tests and ultrasonography. The conclusions of the two stages are ordered by the amount of evidence computed by HEPAR. The system is not yet suitable for clinical use. The system has been evaluated using data of 181 patients selected from a population of 214 consecutively admitted patients with jaundice. The patients were classified by the system as having a hepatocellular or biliary obstructive, and a benign or malignant disorder in 96% and 100% of the cases, respectively. When comparing the conclusions with strongest evidence with the final clinical diagnoses, the patients were classified correctly in 86% and 83% of the classified cases, respectively. A differential diagnosis was produced in 87% of the patients. A correspondence between the diagnosis with strongest evidence and the final clinical diagnosis was found in 78% of the classified patients.
HEPAR是一个专家系统,可作为肝脏和胆道疾病诊断的辅助工具。当针对特定患者进行咨询时,该系统分两个阶段评估患者的疾病。在第一阶段,使用病史、体格检查和常规实验室检查数据来确定疾病是肝细胞性还是胆道梗阻性的,以及是否存在良性或恶性特征。在第二阶段,该系统根据评估第一阶段的结论和数量有限的补充检查结果,即血清学检查和超声检查,从80种疾病类别中得出鉴别诊断。两个阶段的结论按HEPAR计算的证据量排序。该系统尚不适合临床使用。已使用从214例连续入院的黄疸患者群体中选出的181例患者的数据对该系统进行了评估。该系统对患者的分类结果为,肝细胞性或胆道梗阻性疾病以及良性或恶性疾病的准确率分别为96%和100%。将证据最充分的结论与最终临床诊断进行比较时,在分类病例中,患者分类正确的比例分别为86%和83%。87%的患者得出了鉴别诊断。在78%的分类患者中,发现证据最充分的诊断与最终临床诊断相符。