基于人工神经网络的数据挖掘技术在临床中应用进展  

The Development of Data Mining Based on Artificial Neural Network in Clinical Medicine

作　　者：袁金秋[1] 刘雅莉[1] 杨克虎[1] 

机构地区：[1]兰州大学循证医学中心,甘肃兰州730000

出　　处：《图书与情报》2010年第3期95-98,共4页Library & Information

基　　金：兰州大学循证医学中心"循证医学教学创新基金"(2009LDEBM-B)研究成果之一

摘　　要：从1989年第十一届国际人工智能联合会议召开至今,数据挖掘技术蓬勃发展。基于人工神经网络(Artificial Neural Network ANN)的数据挖掘技术在临床领域取得的成果尤其引人瞩目,ANN被广泛应用于临床诊断、预后等多个方面。为更好的认识ANN在国内外的发展现状,文章就与临床领域联系较密切的ANN模型、ANN数据挖掘工具、近期临床研究状况等方面加以综述。Data mining technology has greatly developed since the 11th international artificial intelligence joint conference which was held in 1989.The achievement of the date mining technology based on Artificial Neural Networks（ANN） is especially conspicuous in the clinical domain;ANN is widely used in the clinical diagnosis,the prognosis and many other aspects.For a better understanding of ANN of the development status at home and abroad,this paper reviews the ANN model,the ANN data mining tool,recent development of clinical research and other relative aspects which are closely related to clinical fields.

关 键 词：人工神经网络 临床 数据挖掘 

分 类 号：G202[文化科学—传播学]