Big Data Survey in Healthcare and a Proposal for Intelligent Data Diagnosis Framework

被引：0
|
作者：
Babar, Muhammad Imran [1 ]
Jehanzeb, Muhammad [1 ]
Ghazali, Masitah [2 ]
Jawawi, Dayang N. A. [2 ]
Sher, Falak [2 ]
Ghayyur, Shahbaz Ahmed Khan [3 ]
机构：
[1] Army Publ Coll Management Sci, Rawalpindi, Pakistan
[2] Univ Teknol Malaysia, Johor Baharu, Malaysia
[3] Int Islamic Univ, Islamabad, Pakistan
来源：
2016 2ND IEEE INTERNATIONAL CONFERENCE ON COMPUTER AND COMMUNICATIONS (ICCC) | 2016年
关键词：
health care; data analytics; BIG DATA; decision support; machine learning; data mining; MANAGEMENT;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Healthcare is one of the core areas in medical domain. In healthcare the data exist in various forms like respiration data, blood pressure readings, prescriptions and others. The data may help in decision-making for different initiatives in order to provide better healthcare services. However, in order to make this possible there is a need to diagnose the data in a professional way. Currently, there is a lack of a system or way which may help in decision-making in big data analysis in the form of phases. In this research, a framework has been proposed to diagnose the healthcare data for efficient data analysis.
引用
收藏
页码：7 / 12
页数：6
相关论文
共 50 条
  • [41] A survey of big data architectures and machine learning algorithms in healthcare
    Manogaran G.
    Lopez D.
    International Journal of Biomedical Engineering and Technology, 2017, 25 (2-4) : 182 - 211
  • [42] Big data and open data for an intelligent governance
    Cerrillo-Martinez, Agusti
    PROFESIONAL DE LA INFORMACION, 2018, 27 (05): : 1128 - 1135
  • [43] Big data analytics and big data science: a survey
    Chen, Yong
    Chen, Hong
    Gorkhali, Anjee
    Lu, Yang
    Ma, Yiqian
    Li, Ling
    JOURNAL OF MANAGEMENT ANALYTICS, 2016, 3 (01) : 1 - 42
  • [44] Big Data Framework
    Tekiner, Firat
    Keane, John A.
    2013 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC 2013), 2013, : 1494 - 1499
  • [45] BIG DATA INTELLIGENT NETWORKING
    Li, Ruidong
    Song, Houbing
    Cao, Jiannong
    Barnaghi, Payam
    Li, Jie
    Mavromoustakis, Constandinos X.
    IEEE NETWORK, 2020, 34 (04): : 6 - 7
  • [46] Towards an Intelligent Framework for Scientific Computational Steering in Big Data Systems
    Zhang, Yijie
    Wu, Chase Q.
    2024 IEEE 24TH INTERNATIONAL SYMPOSIUM ON CLUSTER, CLOUD AND INTERNET COMPUTING, CCGRID 2024, 2024, : 671 - 675
  • [47] FENCE: Fast, ExteNsible, and ConsolidatEd Framework for Intelligent Big Data Processing
    Ramneek
    Cha, Seung-Jun
    Pack, Sangheon
    Jeon, Seung Hyub
    Jeong, Yeon Jeong
    Kim, Jin Mee
    Jung, Sungin
    IEEE ACCESS, 2020, 8 : 125423 - 125437
  • [48] Intelligent big data processing
    Hsu, Ching-Hsien
    FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF GRID COMPUTING AND ESCIENCE, 2014, 36 : 16 - 18
  • [49] Intelligent search in Big Data
    Birialtsev, E.
    Bukharaev, N.
    Gusenkov, A.
    BIGDATA CONFERENCE (FORMERLY INTERNATIONAL CONFERENCE ON BIG DATA AND ITS APPLICATIONS), 2017, 913
  • [50] The Survey of Big Data
    Fu, Qi
    Tan, Jun
    Xie, Yufang
    PROCEEDINGS OF THE 2014 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND ELECTRONIC TECHNOLOGY, 2015, 6 : 403 - 407
12345