Prediction Analysis of the Number of Patients with Respiratory Diseases based on SVR

Abstract

The rapid development of industrialization is accompanied by a further increase in air pollution. Serious air pollution will bring a variety of diseases to the human body, which has been a basic consensus on a global scale. It is of great significance to further explore the specific diseases related to air pollution. In this paper, air pollutant emission data and respiratory disease data of public data sets are collected to analyze the changes between them and the relationship between them. Further, the SVR machine learning analysis model was established to analyze the impact of air pollutant emission on the number of patients with respiratory system diseases. Meanwhile, the data of the number of patients with respiratory system diseases was predicted based on the data of air pollutant emission, and the experimental effect was satisfactory. It lays a foundation for further research on the relationship between various air pollutants and human respiratory diseases.