上海交通大学学报

上海交通大学学报（自然版）

• 生物医学工程 • 上一篇    下一篇

基于知识的模糊神经网络临床路径变异分析方法

杜刚1，江志斌1，刁晓娣2，姚阳3

  

  1. (1.上海交通大学 工业工程与物流工程系， 上海 200240； 2.上海市普陀区中心医院， 上海 200062；3.上海市第六人民医院， 上海 200233）

  • 收稿日期:2009-08-05 修回日期:1900-01-01 出版日期:2010-11-30 发布日期:2010-11-30

Analyzing Method for Clinical Pathway Variations Based on Fuzzy Neural Network with Knowledge

DU Gang1，JIANG Zhibin1，DIAO Xiaodi2，YAO Yang3
  

  1. (1.Department of Industrial Engineering & Logistics Management, Shanghai Jiaotong University, Shanghai 200240, China; 2.Shanghai Putuo District Central Hospital, Shanghai 200062, China;3.Shanghai No. 6 People’s Hospital, Shanghai 200233, China)
  • Received:2009-08-05 Revised:1900-01-01 Online:2010-11-30 Published:2010-11-30

摘要： 探索了基于Mamdani、TakagiSugeno模型的模糊神经网络，以及BP神经网络在临床路径控制中的应用.提出了基于知识的模糊神经网络临床路径变异分析方法，以骨肉瘤化疗临床路径肝中毒变异为例进行了实例验证.分析了几种方法的有效性以及各自的优缺点.结果表明，在处理临床路径变异方面，基于知识的模糊神经网络与标准的BP神经网络相比，具有明显的优越性.

关键词: 知识模糊神经网络, 临床路径, 变异, 肝中毒

Abstract: The application of the Mamdani, TakagiSugeno fuzzy neural network, and BP neural network in clinical pathway control was investigated. The analyzing method for clinical pathway variations based on fuzzy neural network with knowledge was given. Finally, a case study on liver poisoning of osteosarcoma preoperative chemotherapy was used to validate the proposed method, and their effectiveness, and respective advantages and disadvantages were analyzed. The result shows that knowledge fuzzy neural networks have obvious advantages over standard neural networks for analyzing and reasoning of clinical pathway variations.

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