摘要
为了解决当前心理健康智能评测过程中存在的误评率高、工作效率低等问题,提出基于决策树算法的心理健康智能评测系统。首先分析心理健康智能评测的研究现状,构建心理健康智能评测系统框架;然后采集心理健康智能评测数据,采用决策树算法对心理健康智能评测数据进行分析和分类,得到心理健康智能评测结果;最后采用具体仿真实验分析了心理健康智能评测系统的可行性和优越性。结果表明,文中系统克服了当前心理健康智能评测系统存在的弊端,提高了心理健康智能评测精度,改善了心理健康智能评测效率,而且系统稳定性更好,可以满足当前心理健康智能评测的实际要求。
In order to solve the problems(high false evaluation rate and low working efficiency)existing in the process of mental health intelligent evaluation,a mental health intelligence evaluation system based on decision tree algorithm is proposed.The research status of the mental health intelligent evaluation is analyzed.The framework of the mental health intelligent evalua⁃tion system is constructed.The data of mental health intelligent evaluation are collected,and then the collected data are ana⁃lyzed and classified by decision tree algorithm.According to the classification,the results of mental health intelligent evaluation are obtained.The feasibility and superiority of the mental health intelligent evaluation system is analyzed by specific simulation experiments.The experimental results show that the disadvantages existing in the current mental health intelligent evaluation sys⁃tems have been overcome,and the accuracy and the efficiency of mental health intelligent evaluation have been improved.In ad⁃dition,the proposed system has good stability.Therefore,the system can meet the actual requirements of the current mental health intelligent evaluation.
作者
杨复伟
周斌
YANG Fuwei;ZHOU Bin(Wuhan University of Engineering Science,Wuhan 430200,China)
出处
《现代电子技术》
2021年第13期135-139,共5页
Modern Electronics Technique
基金
湖北省自然科学基金计划一般面上项目(2019CFC919)
湖北省教育厅科学技术研究计划指导性项目(B2016396)。
关键词
测评系统
心理健康
决策树算法
框架构建
数据采集
数据分类
evaluation system
mental health
decision tree algorithm
framework construction
data acquisition
data clas⁃sification
