基于超声诊断的胎儿体重预测方法的研究进展  

The development of foetus' body weight estimation based on ultrasound technology

作　　者：黄晓明[1] 吴君[2] 李亚东[1] 张方林[1] 张虎军[1] 吴向阳[1] 汪天富[2] 

机构地区：[1]成都市成都军区总医院器材科,四川610083 [2]四川大学生物医学工程系,成都610064

出　　处：《中国医学装备》2004年第2期38-41,共4页China Medical Equipment

摘　　要：随着超声技术的发展 ,超声检查成为预测胎儿体重的重要手段。国内外学者用多元回归的方法提出了许多的图表和公式。人工神经网络是以神经的结构和生理为基础模拟人类思维的计算机人工智能技术。对复杂的、非线性信息处理有其独特的。在预测胎儿体重这一领域 ,人工神经网络的方式比传统的回归分析法有着更大的优势。Ultrasonic estimation of felal weight is of paramount importance in the management of labor and delivery.Many scholars have advanced lots of charts and formulas in virtue of regression methods.Artificial network,a computer artificial intelligence,basing on neural structure and physiology simulates human thinking.It is accomplished in the complex and mon-linear information.The neural network and regression methods were used to compare the accuracy of predicting fetal weight,which the former has more advantage.

关 键 词：胎儿体重 预测方法 超声诊断 人工神经网络 人工智能技术 回归分析法 超声技术 超声检查 多元同归 信息处理 国内外 计算机 非线性 

分 类 号：R714.51[医药卫生—妇产科学] R445.1[医药卫生—临床医学]