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神经网络方法在医学中的应用 被引量:9

APPLICATION OF ARTIFICIAL NEURAL NETWORKS IN MEDICINE
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摘要 随着计算机技术与人工智能技术的发展 ,人工神经网络已应用于各个领域的信息处理工作。医学中的许多复杂问题由于信息来源不完整又含假象等 ,给传统专家系统的应用造成极大困难 ,而神经网络技术能真实和科学地反映事物的本质。本文介绍了人工神经网络的工作原理及特点 ,显示了其在临床诊断、医学图像信号分析中的独特的优越性 ,也可详尽地解释和分析新药研制过程中的药效现象。 Artificial Neural Networks (ANN) has been used in information processing of all fields as the development of computer technology and Artificial Intelligence (AI). Traditional methods cannot deal with complex medical problems with unintegrated and incorrect information, but ANN can reflect the truth of things. This article introduced the principle and characteristics of ANN, and showed its advantages in clinical diagnosis, medical image and signal analysis. ANN can also be applied in drug development.
出处 《中国现代医学杂志》 CAS CSCD 2003年第13期8-11,共4页 China Journal of Modern Medicine
关键词 人工神经网络 传递函数 应用 Artificial Neural Networks (ANN) Transfer Function Application
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  • 1Karakas M, Duru H, Tipi V, et al. A System for an Automated Classification of Blcod Cells from Microscope Images: CELL v. 1.0. In Ifeachor E, & Rosen K. (Eds), International Conference on Neural Networks and Expert Systems in Medicine and Healthcare,1994:248-256.
  • 2Jervis B, Yu S, Saatchi M, et al. The Sensitivity of Multilayer Perceptrons for Differentiating Between CNV Waveforms of Schizophrenic, Parkinson' s Disease and Huntington' s Disease Subjects. In Ifeachor E, & Roan K. (Eds), International Conference on Neural Networks and Expert Systems in Medicine and Healthcare, 1994:275--282.
  • 3Sordo M, Buxton H, Watson D(2001 ). A Hybrid Approach to Breast Cancer Diagnosis. In Practical Applications of Computational Intelligence Techniques. Jain L. and DeWilde P. (Eds). Kluwer Academic Publishers.
  • 4Weinstein J, Kohn K, Grever M, et al. Neural Computing in Cancer Drug Development: Predicting Mechanism of Action. Science,1992;258:447--451.
  • 5Choong PL, deSilva C;JS. Breast Cancer Prognosis using EMN Architecture. Proceedings of IEEE Intemational Conference on Neural Networks. June, 1994.
  • 6Burke H, Roan D, & Goodman P . C, omparing the Prediction Accuracy of Artificial Neural Networks and Other Statistical Models for Breast Cancer Survival. In Tesauro G, Touretzky D, &: Leen T.(Eds). Advances in Neural Information Processing Systems, 1995:1063-- 1067. The MIT Press.
  • 7Hamamoto I, Okada S, Hashimoto T, et al . Prediction of the Early Prognosis of the Hepatectomized Patient with Hepatocellular Carcinoma with a Neural Network. Comput. Biol. Med, 1995 ;25( 1 ) :49--59.
  • 8Lapuerta P, Azen SP, & LaBree L. Use of Neural Networks in Predicting the Risk of Coronary Artery. Diease. Computers and Biomedical Resarch, 1995; 28:38--52.
  • 9Fraser H, Pugh R, Kennedy R,et al. A Comparison of Backpropagation and Radial Basis Functions, in the Diagnosis of Myocardial Infarction. In Ifeachor, E., & Rosen, K. (Eds.), International Conference on Neural Networks and Expert Systeras in Medicine and Healthcare, 1994 : 76-- 84.
  • 10Sordo M (1995). Neural Networks for Detection of Down's Syndrome. Master' s thesis, Department of Artificial Intelligence, University of Edinburgh.

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