A Comprehensive Survey of AI, Blockchain Technology and Big Data Applications in Medical Field and Global Health

Inderpreet Kaur, Yogesh Kumar, A. Sandhu
{"title":"A Comprehensive Survey of AI, Blockchain Technology and Big Data Applications in Medical Field and Global Health","authors":"Inderpreet Kaur, Yogesh Kumar, A. Sandhu","doi":"10.1109/ICTAI53825.2021.9673285","DOIUrl":null,"url":null,"abstract":"AI (Artificial Intelligence) technologies help with diagnostic procedures, patient monitoring, drug development, personalised medicine, and global health pandemic prediction. Without explicit programming, machine learning enables the technology to enhance and expand. Moreover, machine learning algorithms may use e-health records to evaluate vast quantities of data, dubbed big-data, for illness detection and prediction. Medical devices are used to continually monitor and record a person’s health condition. In light of recent research, the goal of this study is to investigate the potential advantages of extensive data analytics and machine learning (ML). We looked for articles in the literature using multiple high-quality databases, including Google Scholar, Scopus, Web of science (WoS), Scopus and PubMed. This article covers the ML (machine learning), Big Data, and Blockchain Technology in health-care, population health, and medical surveillance.","PeriodicalId":278263,"journal":{"name":"2021 International Conference on Technological Advancements and Innovations (ICTAI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Technological Advancements and Innovations (ICTAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICTAI53825.2021.9673285","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

AI (Artificial Intelligence) technologies help with diagnostic procedures, patient monitoring, drug development, personalised medicine, and global health pandemic prediction. Without explicit programming, machine learning enables the technology to enhance and expand. Moreover, machine learning algorithms may use e-health records to evaluate vast quantities of data, dubbed big-data, for illness detection and prediction. Medical devices are used to continually monitor and record a person’s health condition. In light of recent research, the goal of this study is to investigate the potential advantages of extensive data analytics and machine learning (ML). We looked for articles in the literature using multiple high-quality databases, including Google Scholar, Scopus, Web of science (WoS), Scopus and PubMed. This article covers the ML (machine learning), Big Data, and Blockchain Technology in health-care, population health, and medical surveillance.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
人工智能、区块链技术和大数据在医疗领域和全球健康领域的应用综述
人工智能(AI)技术有助于诊断程序、患者监测、药物开发、个性化医疗和全球卫生大流行预测。没有明确的编程,机器学习使技术得以增强和扩展。此外,机器学习算法可以使用电子健康记录来评估大量数据,称为大数据,用于疾病检测和预测。医疗设备用于持续监测和记录一个人的健康状况。根据最近的研究,本研究的目标是调查广泛数据分析和机器学习(ML)的潜在优势。我们使用谷歌Scholar、Scopus、Web of science (WoS)、Scopus和PubMed等多个高质量数据库进行文献检索。本文介绍了医疗保健、人口健康和医疗监测中的ML(机器学习)、大数据和区块链技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Malware Detection Using Machine Learning Prediction of Students’ Perceptions towards Technology’ Benefits, Use and Development Dynamic Time Tracking and Task Monitoring Agent Service A Systematic Literature Survey on Generative Adversarial Network Based Crop Disease Identification Study of Convective Heat Transfer Characteristics of Nano Fluids in Circular Tube
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1