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Free Download 5G-Smart Diabetes: Toward Personalized Diabetes Diagnosis With Healthcare Big Data Clouds Project in Java with source code

Java project     kalai selvi    2020-01-05

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5G-Smart Diabetes: Toward Personalized Diabetes Diagnosis With Healthcare Big Data Clouds project is a desktop application which is developed in Java platform. This Java project with tutorial and guide for developing a code. 5G-Smart Diabetes: Toward Personalized Diabetes Diagnosis With Healthcare Big Data Clouds is a open source you can Download zip and edit as per you need. If you want more latest Java projects here. This is simple and basic level small project for learning purpose. Also you can modified this system as per your requriments and develop a perfect advance level project. Zip file containing the source code that can be extracted and then imported into Eclipse. This Source code for BE, BTech, MCA, BCA, Engineering, Bs.CS, IT, Software Engineering final year students can submit in college. This script developed by kalai selvi. This desktop application 100% working smooth without any bug. It is developed using java,hadoop and Database hdfs. This software code helpful in academic projects for final year students. We have a great collection of Java projects.





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About Project



project Name :  5G-Smart Diabetes: Toward Personalized Diabetes Diagnosis With Healthcare Big Data Clouds
project ID :  2617
Developer Name :  kalai selvi
Upload Date :  2020-01-05
project Platform :  Java
Programming Language :  java,hadoop
IDE Tool :  Eclipse
project Earning :  kalai selvi Earn Rs.0 from this project.
Database :  hdfs
project Type :  desktop Application
No of project Download :  155
project Total View :  1945
Today Trends :  122
Current Month Trends :  155
Last Month Trends :  133
project Source Code Link :   Download Here (3.9369MB)
project Report Link :   Download here  (0MB)

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Features of the Project

Recent advances in wireless networking and big data technologies, such as 5G networks, med- ical big data analytics, and the Internet of Things, along with recent developments in wearable computing and artificial intelligence, are enabling the development and implementation of innovative diabetes monitoring systems and applications. Due to the life-long and systematic harm suffered by diabetes patients, it is critical to design effective methods for the diagnosis and treatment of diabetes. Based on our comprehensive investigation,this article classifies those methods into Diabetes 1.0 and Diabetes 2.0, which exhibit deficiencies in terms of networking and intelligence. Thus, our goal is to design a sustainable, cost-effective, and intelligent diabetes diagnosis solution with personalized treatment. In this article, we first propose the 5G-Smart Diabetes system, which combines the state-of-the-art technologies such as wearable 2.0, machine learning, and big data to generate comprehensive sensing and analysis for patients suffering from diabetes. Then we present the data sharing mechanism and personalized data analysis model for 5G-Smart Diabetes. Finally, we build a 5G-Smart Diabetes testbed that includes smart clothing, smartphone, and big data clouds. The experimental results show that our system can effectively provide personalized diagnosis and treatment suggestions to patients.


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