Salamon R, Husak T, Turion J, Samson M, Grémy F
Pathol Biol (Paris). 1975 May;23(5):387-93.
This article describes our experience of computer-assisted diagnosis. The original aspects of this work are both the subject chosen and the method used. Our study of clinical and semiological data included the whole of neurological signs above the spinal cord. The interest of the method, based on Bayes theory was in the use of auto-learning and the sample of patients studied as our experience increased. The preliminary results are encouraging, with 85 % correct results, if one considers the first three replies.
本文描述了我们在计算机辅助诊断方面的经验。这项工作的独特之处在于所选的主题和使用的方法。我们对临床和症状学数据的研究涵盖了脊髓以上的所有神经体征。基于贝叶斯理论的方法的优势在于随着我们经验的增加,采用自动学习和所研究患者的样本。如果考虑前三个回答,初步结果令人鼓舞,正确结果达85%。