The Research on Neural Network Diagnosis and Treatment System of Child Mental Health Disorders

Abstract

The research of diagnosis and treatment system of child mental health disorders is based on artificial neural network and expert system. It combines the diagnosis standard of ICD 10, DSM IV with 40 years clinical experiences and knowledge of senior child psychiatrists. It also combines computer science with child psychiatry, child psychology, psychological estimate, psychological therapy and so on. The learning samples come from the epidemiological data in more than a dozen nationwide hospitals. The correct rate of system diagnosis is 99%. The system can diagnose 61 kinds of child mental health disorders and give a treatment method suggestion.

A Neural Network Evaluation Model for College Students’ Mental Health

“…The mental health of college students plays an important role in the improvement of learning ability, ideological and political quality and the realization of life value. Although psychological test is widely used as a standardized evaluation tool in the investigation and individual evaluation of college students' mental health, the effect is not significant, and many psychological problems can not be found early There are many reasons for this outcome [1][2][3]. Therefore, in the individual psychological evaluation, how to use mathematical means to accurately and effectively use the information provided by the test to improve the recognition rate of psychological problems is an important problem faced by college students' mental health care and promotion work.…”