摘要
通过双变量相关分析剔除了性格与可靠性两个无关变量,确定影响睡眠质量的指标有年龄、性别和神经紧张。通过多元线性回归得到各项指标和睡眠质量的函数。其次,将所有疾病分为24种诊断结果,利用多元非线性回归建立诊断结果与睡眠质量的关系。对于新样本,利用问题二解模型得到诊断结果。
Eliminates the character and reliability by bivariate correlation analysis, and the indicators affecting sleep quality are Age, Sex, Psychoticim and Nervousness. Obtains the function about each index and the quality of sleep by multiple linear regression. Secondly, divides all the diseases into 24 kinds of diagnostic results, uses multiple nonlinear regression to establish the relationship between the diagnostic results and sleep function. For the new sample, obtains the diagnosis results by using the problem two solution model.
作者
刘忠青
LIU Zhong-qing(Department of Electrical Information, Shandong University of Science and Technology, Jinan 250031)
出处
《现代计算机》
2018年第8期16-19,24,共5页
Modern Computer
关键词
组成
双变量相关性分析
多元非线性回归
多元线性回归
Component
Bivariate Correlation Analysis
Multiple Linear Regression
Multivariate Nonlinear Regression