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.