Design And Implementation Of Maternal Weight Health Management System

In the field of maternal health care,weight management is an important part of ensuring a good pregnancy outcome,pregnant women during pregnancy increased the amount of weight directly affect the fetus and their own health.The traditional pregnancy weight management ways are acquiring weight management knowledge from pregnant school,individual recommendations for pregnancy from nurses and standardized prenatal examination in hospital.Although these ways can effectively control the growth of pregnant women's weight,but the disadvantage is higher costs and relying on pregnant women's own weight management awareness and attention.These ways also require a lot of professional human resources.In view of the existing problems in the management of pregnant women's weight,this thesis aims to design the application of maternal health management.The main work of this thesis include the following parts:(1)The overall structure of maternal weight management system is designed which use front and rear separation,in order to achieve the system module decoupling.(2)Component-based single-page front-end interface is designed which use Model-View-ViewModel architecture model,in order to achieve the view layer and model layer separation.Use model-driven front-end view rendering to achieve automatic changes to the view interface.Introducing global state management mode,centralized storage management component status,and implement event-driven front-end interface.(3)The RESTful service-based API was designed by using Node.js technology in the server,which provides flexible and reusable application functionality.Real-time server-side data update is achieved by means of WebSocket.Combined with front-end chart function,presentation of pregnant women weight trends can be real-time presented.(4)The fetal weight prediction program was realized based on neural network.By adding the JS library to realize the neural network,the related physical data of pregnant women were used as input parameters to predict the fetal weight after childbirth,so as to help pregnant women choose the appropriate mode of delivery,which reduces the risk of the production process.On the basis of the above research,the maternal health management system was designed and realized.The rationality of the proposed solution was verified by analyzing the corresponding function points of the system.