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基于模糊神经网络的抑郁症智能诊断研究 被引量:3

Study on the intelligent diagnosis of depression based on the fuzzy neutral network
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摘要 本文将模糊技术和神经网络技术有机结合,针对抑郁症构建了智能诊断模型,构造出一种可"自动"处理模糊信息的神经网络,该方法可模拟医师临床诊断时运用直觉和模糊推断的功能自动生成诊断结论。通过实例检验,该模型具有一定有效性。该方法可以实现辅助诊断的功能,同时也可推广为在患者不能及时到达医院时的自诊方法。 The intelligent expert diagnosis model is built based on the fuzzy neutral network which combined the fuzzy tech nology and the neutral network. An adaptive fuzzy system is set to deal with the fuzzy information automatically which can lead to the diagnosis conclusion by simulating the doctors' clinical diagnosis. The model is proved to be effective by examination and can be used as the self-diagnosis method when patients can not reach the hospital in time.
出处 《医学研究生学报》 CAS 北大核心 2014年第1期82-85,共4页 Journal of Medical Postgraduates
基金 国家社会科学基金军事学项目(12GJ003-067)
关键词 模糊神经网络 智能 诊断 抑郁症 Fuzzy neutral network Intelligent Diagnosis Depression
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