The Implementation And Data Analysis Of Leisure Convalescent Service Platform Based On Wechat Interface

With the development of modern cities,WeChat is the most popular mobile Internet product nowadays.Its number of registered users has exceeded one billion,which has become one of the most important social software in mobile Internet.Various factors,such as rapidly changing social environment,forced work tasks and heavy burden from families,lead to white-collar class generally exist mental tension,stress,overwork,physical decline and other adverse phenomena.In the era of big data,the health data of recuperation can be excavated and analyzed,and the combination of social network platform such as WeChat and convalescent system has just started in our country,for the convalescence process and some convalescence service means in the application of WeChat platform is also no actual case.Then In view of the elderly and unhealthy people,foreign countries started earlier than domestic,but based on convalescence and real-time for each elderly to send their health data to their relatives to give health reminders,in foreign countries has just started.This paper presents a leisure convalescent service platform based on the open interface of WeChat.The platform is a secondary development based on the public platform of WeChat.By using the open interface of custom menu,group sending and pushing,location positioning,graphic and text messages,a leisure convalescent information service platform is implemented with Web technology.In addition,the convenience of WeChat service platform is utilized to conduct pre-processing such as cleaning and labeling of the collected user health data.The XGBoost algorithm is used to predict the health status of users through deep mining of users' health data.Experiments show that XGBoost algorithm is significantly better than decision tree and random forest algorithm,and finally reaches the function of giving health warnings to recuperating population.