Prediction of number of depression patients based on neural network

Yun Lin, Yuan Zhang
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引用次数: 3

Abstract

Mental disorder is rising year by year. Among them, depression is the most common psychiatric disorders, is also the highest rate of disease. The BP neural network has self-learning ability, adaptive ability and fault tolerance. This paper predict the number of depression patients using BP neural networks , so the government will put more attentions to mental diseases and widely raise public awareness about mental health issues.
基于神经网络的抑郁症患者数量预测
精神疾病逐年上升。其中,抑郁症是最常见的精神障碍,也是发病率最高的疾病。BP神经网络具有自学习能力、自适应能力和容错能力。本文利用BP神经网络预测抑郁症患者的数量,从而引起政府对精神疾病的重视,并广泛提高公众对心理健康问题的认识。
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