Alton E W, Newman N, Hooper J, Fok D, Vicary F R
Department of Gastroenterology, Whittington Hospital, London, U.K.
Int J Biomed Comput. 1991 Jan;27(1):47-57. doi: 10.1016/0020-7101(91)90020-f.
We have designed a computer program 'Solubile' to aid clinicians in the diagnosis of jaundice. Based on Bayes' theorem, 'Solubile' uses up to 47 items of information about the patient to produce the most probable diagnosis from 22 possible diseases. In a prospective analysis of 50 patients, 74% were correctly diagnosed in first place and 94% within the first three choices. The possibility of using 'Solubile' at differing locations was tested by prospectively diagnosing 100 cases at a second centre having a significantly different patient population. 75% of these patients were correctly diagnosed in first place and 89% within the first three choices. The diagnostic ability of 'Solubile' was compared with that of 20 clinicians of various grades. The clinicians correctly diagnosed 49.5% of cases (Solubile 74%) and placed 68.5% (Solubile 94%) within the first three choices. 'Solubile' will be of use to aid clinicians in aspects of the diagnosis and management of jaundice.
我们设计了一个名为“Solubile”的计算机程序,以协助临床医生诊断黄疸。基于贝叶斯定理,“Solubile”利用多达47项关于患者的信息,从22种可能的疾病中得出最有可能的诊断结果。在对50名患者的前瞻性分析中,74%的患者在首位诊断时被正确诊断,94%的患者在前三个诊断选择内被正确诊断。通过在第二个患者群体明显不同的中心对100例病例进行前瞻性诊断,测试了在不同地点使用“Solubile”的可能性。这些患者中有75%在首位诊断时被正确诊断,89%的患者在前三个诊断选择内被正确诊断。将“Solubile”的诊断能力与20名不同级别的临床医生的诊断能力进行了比较。临床医生正确诊断了49.5%的病例(“Solubile”为74%),并将68.5%的病例(“Solubile”为94%)列入前三个诊断选择。“Solubile”将有助于临床医生在黄疸的诊断和管理方面提供帮助。