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.
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.