Research And Design Of Health Monitor Software Based On IOS Platform

With the rapid development of science and technology,people's quality of life is getting higher and higher,and the emphasis on health is getting stronger and stronger.Reversely,the status of our country is the shortage of medical resources,the difficulty and the expensive of medical services.In order to solve the above problems,mobile medical gets more and more popular.Currently,most mobile health monitoring products on the market only focus on monitoring and recording functions and do not perform any real health monitoring.The doctor recommendation services in health monitoring software mostly search the keyword and have not personalized recommendation feature.It is difficult to quickly find the most suitable doctor recommendation services in the era of the overloading network resource,so it cannot meet the needs of users.To solve the above problems,based on the advantages of iOS devices and intelligent wearable devices smart bracelets,this thesis designed a health monitoring software with personalized doctor recommendation services.The main contents of this thesis are as follows.(1)According to the research background and development status at home and abroad,the research content of this thesis is confirmed,the overall scheme is designed,and the key technologies relevant are stated by analyzing the requirements of the health monitoring software.(2)According to the user's personalized service requirements for doctors,traditional collaborative filtering recommendation algorithms have low recommendation accuracy and slow recommendation speed in doctor recommendation services.This thesis improves the traditional collaborative filtering algorithm through combining the unique characteristics of the field of electronic health,a collaborative filtering algorithm based on clustering of demographic factors and user interests is proposed.Simulation and experimental test results show that the algorithm can provide personalized doctor recommendation service and increase recommendation accuracy and recommendation speed.Among them,The recommendation accuracy is 2.51% higher than the traditional collaborative filtering recommendation algorithm,which is 1.15% higher than that based on user interest clustering.(3)According to software requirements analysis,using hierarchical development model and modular design concepts,the user interface module,communication module,database module,and function module of health monitoring software are used to achieve a personalized doctor Health monitoring software for recommended services,real-time monitoring,historical records,health reports,health alarms and health warnings.(4)According to user needs and national software testing standards,the function and performance of the software are tested and verified.The test results show that the designed health monitoring software not only meets the needs of users,but also has certain referential value for the personalized doctor recommendation service in the field of health monitoring.