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Neural Network Structure Study in Child Mental Health Disorderslntelligent Diagnosis System

机译:儿童心理健康障碍智能诊断系统的神经网络结构研究

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In our country there are about 60 millions mental health disorders children who need mental health care according large scope epidemiological investigation. But the child psychiatrists in China are not enough to serve so many kids. We hope that the abundant clinical experiences of senior child psychiatrists can help the younger doctors throughout the country by the advanced computer technology. It is a very interesting practice that uses the computer simulating the human being brain. In research selecting suitable neural network structure is very important too. Suitable neural network structures will bring less error to diagnosis system. The diagnosis system of child mental health disorders can diagnose 61 kinds child mental health disorders. It includes more than 95% child mental health disorders. After diagnosis, the computer will give a treatment method suggestion. Comparing the diagnosis by computer with the senior child psychiatrists the consistent rate is 99%.
机译:根据广泛的流行病学调查,在我国大约有6,000万精神健康障碍儿童需要精神健康护理。但是中国的儿童心理医生不足以服务那么多孩子。我们希望,高级儿童精神科医生的丰富临床经验可以通过先进的计算机技术为全国各地的年轻医生提供帮助。使用计算机模拟人的大脑是一种非常有趣的做法。在研究中,选择合适的神经网络结构也很重要。合适的神经网络结构将给诊断系统带来更少的错误。儿童心理健康疾病的诊断系统可以诊断出61种儿童心理健康疾病。它包括超过95%的儿童心理健康障碍。诊断后,计算机会给出治疗方法建议。通过计算机诊断与高级儿童精神科医生进行比较,符合率为99%。

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