{"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.
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。