基于深度挖掘的青年心理健康信息采集系统设计

Design of Youth Mental Health Information Collection System Based on Deep Mining

针对传统健康数据采集系统受特征数据干扰,导致采集效率低下的问题,提出设计基于深度挖掘的青年心理健康信息采集系统。根据系统硬件结构设计采集器。采用CLOS分布式交换架构的核心交换机,将功率谱密度作为深度挖掘指标,结合线性函数,使用有限数据序列估计功率谱密度,实现系统设计。实验结果可知:该系统语句覆盖率高,测试用例执行覆盖率与实际情况覆盖率面积一致。

Aiming at the problem that the traditional health data acquisition system is interfered by characteristic data, which leads to low collection efficiency, this paper proposes to design a youth mental health information acquisition system based on deep mining.The collector is designed according to the hardware structure of the system, and the original information of the site is updated automatically by online information resource collection tool. The core switch with clos distributed switching architecture provides backbone transmission structure for the system. The power spectral density(PSD) is used as the index of deep mining, combined with linear function, and the power spectral density is estimated by finite data series to reflect the psychological response of young people. Dynamic screening of youth mental health information to achieve system design. The experimental results show that the system has high statement coverage, and the coverage of test case execution is consistent with the actual coverage area.