【摘要】 以 Cu、Zn、Cr、Cd4种血清微量元素为指标 ,以 76例临床测试数据及临床诊断结果为基础 ,采用遗传算法构建神经网络模型 ,并对 10例测试数据进行判定 ,判定结果与临床诊断结果完全一致 .结果表明 ,这一方法可以作为冠心病诊断的有效的辅助手段 .更多还原

【Abstract】 Neural network model trained by using genetic algorithm was constructed on the basis of 76 chinical data sets with 4 indices induding Cu,Zn,Cr,Cd in blood serium.Predictions based on this model for 10 examples were agreement well with that of clinical diagnosis.This suggests that the method here can be used as an effective medium for aiding the diagnosis of coronary heart disease.更多还原