中国组织工程研究

中国组织工程研究 ›› 2011, Vol. 15 ›› Issue (13): 2467-2470.doi: 10.3969/j.issn.1673-8225.2011.13.044

• 骨与关节图像与影像 bone and joint imaging • 上一篇    

基于人工神经网络与人工智能的计算机系统在儿童心理障碍诊断领域的应用

陈冰梅1, 2，樊晓平2，周志明3，李雪荣1   

  1. 1中南大学湘雅二医院，湖南省长沙市  410011
    2中南大学信息科学与工程学院，湖南省长沙市  410083
    3长沙环境保护职业技术学院，湖南省长沙市  410004
  • 收稿日期:2010-11-01 修回日期:2011-01-21 出版日期:2011-03-26 发布日期:2013-10-23
  • 作者简介:陈冰梅☆，女，1963年生，广西壮族自治区玉林市人，汉族，中南大学信息科学与工程学院在读博士，高级工程师，主要从事人工智能和智能计算研究。
  • 基金资助:

    国家自然科学基金课题(39270262)“儿童心理障碍标准化诊断与防治的人工智能专家系统研究”。

Application of computer system based on artificial neural network and artificial intelligence in diagnosing child mental health disorders

Chen Bing-mei1, 2, Fan Xiao-ping2, Zhou Zhi-ming3, Li Xue-rong1   

  1. 1Second Xiangya Hospital, Central South University, Changsha  410011, Hunan Province, China
    2College of Information Science and Engineering, Central South University, Changsha  410083, Hunan Province, China
    3Changsha Environmental Protection College, Changsha  410004, Hunan Province, China
  • Received:2010-11-01 Revised:2011-01-21 Online:2011-03-26 Published:2013-10-23
  • About author:Chen Bing-mei☆, Studying for doctorate, Senior engineer, Second Xiangya Hospital, Central South University, Changsha 410011, Hunan Province, China cbm8882010@hotmail.com; cbm21@tom.com
  • Supported by:

    the National Natural Science Foundation of China, No. 39270262*

PDF

510

被引次数

8

摘要：

背景：将人工智能和人工神经网络二者相结合应用于精神卫生领域的文献在国内外还未见报道，更未见将人工神经网络与人工智能相结合用于模拟人类医学专家大脑诊断思维模式诊断儿童心理障碍的相关报道。
目的：用计算机模拟人脑诊断思维模式，建立一套基于人工神经网络与专家系统的儿童心理障碍标准化诊断与防治的人工智能专家系统。
方法：儿童心理障碍标准化诊断与防治的人工智能专家系统涉及儿童心理学、儿童精神病学、心理测量、心理治疗、计算机科学等诸多学科，诊断系统结合了ICD-10、DSM IV及CCMD-2等诊断标准、大规模流行病学调查数据、资深精神医学专家的丰富临床经验和临床资料。临床资料来源于全国14 家医院流调及门诊收集的原始病例，共回收有效资料1 125份，用基于神经网络与专家系统相结合的方法进行智能诊断系统的编制。
结果与结论：诊断系统能诊断61种儿童心理障碍，它包括95%以上的儿童心理障碍，在诊断之后，计算机将给出一个治疗方法建议。将195例计算机系统诊断结果与资深儿童心理精神医学专家的诊断结果进行双盲比较，诊断符合率是99%，有助于年轻医生学习资深儿童心理精神医学专家丰富的临床经验，也能帮助全国各地的心理障碍患儿，更好地为儿童心理卫生事业服务。

关键词: 儿童心理障碍, 人工智能, 神经网络, 神经专家系统, 智能诊断

Abstract:

BACKGROUND: It is not a report concerning utilization of artificial intelligence combined with artificial neural network in mental health domain, rather than that combining artificial intelligence, artificial neural network and simulating human brain thinking mode for diagnosing child mental health disorders.
OBJECTIVE: Using computer to simulate thinking modes of human brain, to establish an artificial intelligence expert system for diagnosis and treatment of child mental health disorders based on artificial neural network and expert system.
METHODS: The expert system involves in child psychiatry, child psychology, psychological measurement, psychological therapy, and computer science, and so on. The diagnosis system combines the diagnosis standard of ICD 10, DSM IV, CCMD-2, the epidemiological data, and the clinical data with senior psychiatrist knowledge. The clinical data were obtained from 14 epidemiological and outpatient department, and 1 125 valid data were harvested for the system compilation.
RESULTS AND CONCLUSION: The system can diagnose 61 kinds of child mental health disorders. It includes more than 95% child mental health disorders. After diagnosis, the computer will give a treatment suggestion. Comparing the diagnosis by computer with diagnosis by the senior child psychiatrists, the consistent rate is 99%. The research can help the younger doctors to learn abundant clinical experiences of senior child psychiatrists and can help children of mental health disorders throughout the country.

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