Chinese Journal of Tissue Engineering Research ›› 2011, Vol. 15 ›› Issue (13): 2467-2470.doi: 10.3969/j.issn.1673-8225.2011.13.044

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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*

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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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