摘要
本文把 T.Kohonen自组织神经网络运用于生物样品一冠心病患者和对照组(健康人)血液中微量金属元素的综合分析,预报识别率达100%.结果表明,该方法性能良好,可作为生物样品分析与疾病诊断的一种有效的辅助手段.
The contents of metal elements in the blood of patients with coronary heart disease and normal persons were determined by T. Kohonen self梠rganization artificial neural network. The results show that the neural network method is good,and therefore the model might be referred to as an effective assistant technique for the analysis of biological samples and disease diagnosis.
出处
《生物医学工程学杂志》
EI
CAS
CSCD
北大核心
1994年第1期57-60,共4页
Journal of Biomedical Engineering
关键词
冠心病
人工神经网络
生物样品
Coronary heart disease Artificial neural network Self- organization network Metal elements
