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Analyzing Method for Clinical Pathway Variations Based on Fuzzy Neural Network with Knowledge
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DU Gang1，JIANG Zhibin1，DIAO Xiaodi2，YAO Yang3
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(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)
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Abstract The application of the Mamdani, TakagiSugeno 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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Received: 05 August 2009
Published: 30 November 2010
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