Effects of Sleep on Human Body

Lu Wang

College of Mathematics and System Science, Shandong University of Science and Technology, Qingdao, 266590, China

Abstract: Using Pauta criterion to eliminate the abnormal data, the correlation coefficient of sleep quality and each index was obtained by using Pearson correlation coefficient method, finally get the correlation between various indicators and quality of sleep we establish a disease diagnosis model based on neural network. In addition, in view of the influence of the disease on sleep, we put forward reasonable prevention and treatment measures, and stressed that good Mood, good mood is conducive to improving sleep quality. For the effectiveness of the evaluation program, we simulate the mechanism of indicators and sleep quality, and get the indicators of sleep recovery to normal, indicating that the program is effective. 

Keywords: Correlation analysis; Pearson correlation coefficient method; Neural network model; Beers classification algorithm