潜在型克山病临床上没有明显的心脏扩大和心功能障碍症状,故诊断较困难。为了对潜在型克山病人提供电子计算机辅助诊断,本文以云南楚雄经临床确定的潜在型克山病人的红细胞、血浆及头发中某些无机元素含量及射血前期/左室射血时间(PEP/LVET)与A波率(A/E-o％)作变量,经多因素逐步判别分析后建立若干教学模式,根据各教学式的回代符合率来确定对诊断潜在型 Potentially Keshan disease clinically no obvious heart enlargement and cardiac dysfunction symptoms, so the diagnosis is more difficult. In order to provide computer-assisted diagnosis of potential Keshan patients, this paper took Yunnan Chuxiong clinically identified potential Keshan patients as red blood cells, plasma and some inorganic elements in the hair and ejection fraction / left ventricular ejection time (PEP / LVET) and A wave rate (A / Eo%) as variables, after several factors step by step discriminant analysis to establish a number of teaching modes, according to the return rate of each teaching to determine the potential for the diagnosis of type