基于神经网络的抑郁症患者数量预测

2012 IEEE International Conference on Computer Science and Automation Engineering Pub Date : 2012-06-22 DOI:10.1109/ICSESS.2012.6269538

Yun Lin, Yuan Zhang

{"title":"基于神经网络的抑郁症患者数量预测","authors":"Yun Lin, Yuan Zhang","doi":"10.1109/ICSESS.2012.6269538","DOIUrl":null,"url":null,"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.","PeriodicalId":205738,"journal":{"name":"2012 IEEE International Conference on Computer Science and Automation Engineering","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Prediction of number of depression patients based on neural network\",\"authors\":\"Yun Lin, Yuan Zhang\",\"doi\":\"10.1109/ICSESS.2012.6269538\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":205738,\"journal\":{\"name\":\"2012 IEEE International Conference on Computer Science and Automation Engineering\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-06-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE International Conference on Computer Science and Automation Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSESS.2012.6269538\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE International Conference on Computer Science and Automation Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSESS.2012.6269538","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 3

摘要

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。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Prediction of number of depression patients based on neural network

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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2012 IEEE International Conference on Computer Science and Automation Engineering

自引率

0.00%

发文量