Fattu J M, Patrick E A, Sutton W
Comput Biol Med. 1982;12(4):285-93. doi: 10.1016/0010-4825(82)90032-4.
Automatic diagnosis of thyroid diseases is implemented on CONSULT I, a microcomputer system based on the Patrick model for computer-assisted diagnosis in medicine. The thyroid 'subsystem' consists of 19 classes (diseases) and 16 features (signs, symptoms, laboratory tests). For 76 test cases obtained from patient records (recognition samples), the 'true' class (disease) is decided in the highest 'probability' number in 89% of cases and in the differential diagnosis in 100% of cases. Performance is compared to physicians. Estimation of class-conditional probability densities utilizing equivalence regions in the feature space is discussed.
甲状腺疾病的自动诊断是在CONSULT I上实现的，CONSULT I是一个基于医学计算机辅助诊断的帕特里克模型的微型计算机系统。甲状腺“子系统”由19个类别（疾病）和16个特征（体征、症状、实验室检查）组成。对于从患者记录中获取的76个测试病例（识别样本），在89%的病例中，“真实”类别（疾病）由最高“概率”数决定，在100%的病例中用于鉴别诊断。将该系统的性能与医生的进行了比较。讨论了利用特征空间中的等效区域估计类别条件概率密度的方法。
