The Epidemiological Characteristics of Bronchopneumonias in Children Based on WEB Data Mining

Since the rapid development of the Internet and the World Wide Web, their functions and services are also constantly expanding and increasing, which makes them the main place for users to obtain resources, data and information in the 21st century, which also makes the task of Web data mining urgent. This paper mainly studies the epidemiological characteristics analysis of children bronchopneumonia based on Web data mining. This paper USES Web data mining to analyze the data information of pediatric bronchopneumonitis patients admitted and treated in this city in the past five years. It can be found that the proportion of children from 1 to 3 years old is the largest, followed by infants less than 1 year old, and school-age children more than 6 years old account for the least. There were statistically significant differences in the proportion of children in different age groups in different years. Among the hospitalized patients, the proportion of emergency patients was the highest, with an average proportion of 71.48%, and the proportion of critically ill patients was 17.06%. There were statistically significant differences in the admission of inpatients in different years. At the time of discharge, the recovery rate increased gradually and the cure rate decreased gradually. Through the results of this study, we can analyze the epidemiological characteristics of bronchopneumonia in children, which is helpful for the prevention and treatment of bronchopneumonia in children.