Outlining Big Data Analytics in Health Sector with Special Reference to Covid-19

被引:6
|
作者
Biswas, R. [1 ]
机构
[1] Tezpur Univ, Dept Phys, Tezpur 784028, Assam, India
关键词
Bigdata; IoT; Big data analytics; Covid-19; Healthcare; IMAGE RETRIEVAL; SYSTEMS; FUTURE;
D O I
10.1007/s11277-021-09446-4
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
With the assistance of Internet of Things (IoT), Big Data analytics has evolved tremendously. The capability of dealing and processing humongous data by high performance computing systems results in great surge in applications of Big Data analytics in various fields spanning healthcare, automobile, computing, climatology, and space communications etc. The health care sector has been recently largely benefitted by this. Driven by the compounding growth as well as impact of Big Data analytics, we endeavor to map out the areas of health sector where Big Data analytics has been largely influential as well as is having the potential for ground-breaking applications. This work starts with fundamentals of IoT driven Big Data Analytics (BDA) as well as key constitutional elements which is then followed by an application overview in healthcare sector with a simultaneous emphasis on future expectations. Besides, the real time application of BDA with special reference to Covid-19 is comprehensively highlighted with recent examples. It is envisioned that the work will serve as a basic reference for IoT driven BDA in healthcare.
引用
收藏
页码:2097 / 2108
页数:12
相关论文
共 50 条
  • [31] UPHO: Leveraging an Explainable Multimodal Big Data Analytics Framework for COVID-19 Surveillance and Research
    Brakefield, Whitney S.
    Ammar, Nariman
    Shaban-Nejad, Arash
    [J]. 2021 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2021, : 5854 - 5858
  • [32] The impact of COVID-19 on the elderly dependent population in Spain with special reference to the residential care sector
    Marban Gallego, Vicente
    Montserrat Codorniu, Julia
    Rodriguez Cabrero, Gregorio
    [J]. CIENCIA & SAUDE COLETIVA, 2021, 26 (01): : 159 - 168
  • [33] Temporal Data Analytics on COVID-19 Data with Ubiquitous Computing
    Chen, Yubo
    Leung, Carson K.
    Shang, Siyuan
    Wen, Qi
    [J]. 2020 IEEE INTL SYMP ON PARALLEL & DISTRIBUTED PROCESSING WITH APPLICATIONS, INTL CONF ON BIG DATA & CLOUD COMPUTING, INTL SYMP SOCIAL COMPUTING & NETWORKING, INTL CONF ON SUSTAINABLE COMPUTING & COMMUNICATIONS (ISPA/BDCLOUD/SOCIALCOM/SUSTAINCOM 2020), 2020, : 958 - 965
  • [34] Humanitarian aid in the age of COVID-19: A review of big data crisis analytics and the General Data Protection Regulation
    Gazi, Theodora
    Gazis, Alexandros
    [J]. INTERNATIONAL REVIEW OF THE RED CROSS, 2020, 102 (913) : 75 - 94
  • [35] Focus on Characteristics of COVID-19 with the Special Reference to the Impact of COVID-19 on the Urogenital System
    Yang, Mu
    Li, Hui
    Sun, Jiao
    Zhao, Yi
    Tang, Dongqi
    [J]. CURRENT UROLOGY, 2020, 14 (02) : 79 - 84
  • [36] Use of Big Data Analytics in WASH Sector
    Adhikari, Binod Kumar
    Zuo, Wan Li
    Maharjan, Ramesh
    Yadav, Ram Kumar
    [J]. PROCEEDINGS OF THE 2018 SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND CONTROL SYSTEMS (ICICCS), 2018, : 1185 - 1190
  • [37] Data-driven analytics of COVID-19 ‘infodemic’
    Minyu Wan
    Qi Su
    Rong Xiang
    Chu-Ren Huang
    [J]. International Journal of Data Science and Analytics, 2023, 15 : 313 - 327
  • [38] Big data and cutaneous manifestations of COVID-19
    Grant-Kels, Jane M.
    Sloan, Brett
    Kantor, Jonathan
    Elston, Dirk M.
    [J]. JOURNAL OF THE AMERICAN ACADEMY OF DERMATOLOGY, 2020, 83 (02) : 365 - 366
  • [39] COVID-19: Challenges to GIS with Big Data
    Zhou, Chenghu
    Su, Fenzhen
    Pei, Tao
    Zhang, An
    Du, Yunyan
    Luo, Bin
    Cao, Zhidong
    Wang, Juanle
    Yuan, Wen
    Zhu, Yunqiang
    Song, Ci
    Chen, Jie
    Xu, Jun
    Li, Fujia
    Ma, Ting
    Jiang, Lili
    Yan, Fengqin
    Yi, Jiawei
    Hu, Yunfeng
    Liao, Yilan
    Xiao, Han
    [J]. GEOGRAPHY AND SUSTAINABILITY, 2020, 1 (01) : 77 - 87
  • [40] Data-driven analytics of COVID-19 'infodemic'
    Wan, Minyu
    Su, Qi
    Xiang, Rong
    Huang, Chu-Ren
    [J]. INTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS, 2023, 15 (03) : 313 - 327