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Research And Implementation Of Cross-platform Intelligent Guidance System Based On MEAN&React Native Architecture

Posted on:2019-04-25Degree:MasterType:Thesis
Country:ChinaCandidate:H ChengFull Text:PDF
GTID:2428330566473516Subject:Computer technology
Abstract/Summary:PDF Full Text Request
Intelligentization is an important direction of medical development.Intelligent construction can solve the current problem of unbalanced resources between doctors and patients.The emergence of intelligent diagnostic services is a common product of the intelligent diagnosis of diseases and the development of the times,attracting the attention and research of many scientific researchers and Internet technology companies at home and abroad.Therefore,using the MEAN and React Native frameworks,based on the mobile Internet and artificial intelligence technology,the research and implementation of intelligent guidance and diagnosis systems have important theoretical and practical values.In this paper,firstly,the process and algorithm of the core diagnosis module in the intelligent guidance system based on MEAN and React Native architecture are deeply studied.The credibility prediction algorithm based on improved AHP and the improved TF-IDF algorithm are proposed.Then,in accordance with the software engineering development process,the system needs analys-is,system design and implementation.The final system consists of four core modules: the front-end guidance sub-module,the natural language processing sub-module,the sub-module for the diagnosis of disease symptoms,and the sub-module for the diagnosis of disease similarity.At the same time,the performance optimization of multi-platform mobile applications and the specific performance requirements of specific application environments are studied.In addition,cache technology,reverse proxy and other measures are adopted to further optimize the system,and an HTTPS communication protocol is adopted to ensure communication security.For the accuracy and reliability of the improved AHP credibility prediction algorithm and the improved TF-IDF algorithm proposed in this paper,the same data set is used to test the system before and after improving the core algorithm of the intelligent guidance diagnosis module under the principle of variabl-e control..The results show that using the intelligent guidance core module to improve the algorithm can improve the accuracy and reliability of the results of the guidance system.In summary,the guidance system design scheme is reasonable,the interface is friendly,the scalability is good,and it is very innovative.The practical application value is obvious.
Keywords/Search Tags:Intelligent guidance, AHP, TF-IDF, MEAN, React Native
PDF Full Text Request
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