A Network Data Analytic Technique in a 5G-IoT-Based Smart Healthcare System Using Machine Learning

Author:

Gupta Neha1,Sharma Sachin1,Juneja Pradeep1,Garg Umang2

Affiliation:

1. Graphic Era University (Deemed), India

2. Graphic Era Hill University, India

Abstract

Healthcare is an important part of every individual's life. Unfortunately, the rising prevalence of chronic diseases is putting a burden on the modern healthcare system. The internet of things (IoT) with 5G technology offers a number of advantages to the healthcare system, including remote monitoring, remote robotic surgery, and ambulances operating on dedicated network slices, all of which relieve pressure on the traditional healthcare system. 5G-IoT enables billions of healthcare equipment to communicate with one another. These devices will produce a huge amount of data that can be evaluated. In the healthcare industry, data analytics has a huge potential. In this chapter, the authors examine a brief history of machine learning as well as some fundamental knowledge of the methodologies. In addition, the author has provided a brief overview of several machine learning algorithms utilized in healthcare in the context of 5G-IoT. The future aspect of machine learning in a 5G-IoT smart healthcare system was also highlighted.

Publisher

IGI Global

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Internet-of-Things Enabled Smart Health Monitoring System Using AutoAI: A Graphical Tool of IBM Watson Studio;Internet of Things;2024

2. Involvement of Functional Programming in Language Processing and Machine Learning;2023 2nd International Conference for Innovation in Technology (INOCON);2023-03-03

3. E-Agriculture Integration with Cloud Computing;2022 Seventh International Conference on Parallel, Distributed and Grid Computing (PDGC);2022-11-25

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3