Research And Implementation Of Personalized Health Service Recommendation System Based On E-health

Personalized medical recommendation service can provide personalized medical service for patients with targeted and individual characteristics.However,some already existing personalized recommendation service for medical needs high cost wearable devices as data acquisition terminal,and they only consider the data of single dimension such as physiological data of patients,thus it is unable to provide reliable personalized for patients in various medical resources in the recommended results.Therefore,this thesis proposes the personalized health care services for patients with the recommendation method,combining with the physiological data,location data and other multidimensional data,and achieve a health research of personalized service recommendation system,to improve the quality of medical services.This thesis begins with the research background and significance of personalized medical health service recommendation.Then,define the research goal of this thesis and the research content,and present research state are analyzed,besides introduces the theory and technology related to the application of this thesis,which laid the foundation of the subsequent article.Next,a personalized health service recommendation method is proposed,which includes data collection,data processing and the design of recommendation method.The data collection uses the JSON which has the good intention expression,and the transmission convenience;For different types of data and the null value of noise processing method of data processing is discussed,using the delimiter data integration array into a data field to structured storage;Finally,in the design of the recommended method,the clustering of different dimensions of the data,the use of the proposed algorithm,the parameters of the algorithm design are described in detail.Then,this thesis introduces the design and implementation of personalized health service recommendation system.From the point of view of requirement analysis,the function and structure of the system are designed.In order to verify the effectiveness of the proposed method and the effectiveness of the various functions of the recommendation system,the relevant test verification is carried out and the results are analyzed.The analysis results show that the recommendation method and recommendation system designed in this thesis have good applicability,and can complete the recommendation task well,and achieve the desired results.Finally,this thesis makes a summary and outlook,summarizes the proposed methods and systems,describes the shortcomings of the methods and systems,and proposes the possible directions for future research.The thesis proposes a recommendation method combined with physiological data of patients,location data and interest data,and implemented personalized medical health service recommendation system for internet users,which will help to provide patients with intelligent,accurate medical personalized recommendation service to improve the quality of medical services.