A Review on Big Data Application in Health Care

Authors

  • Sridhar Gujjeti  Assistant Professor, Department of Computer Science and Engineering, Kakatiya Institute of Technology and Science, Warangal, Telangana, India
  • Dr. Suresh Pabboju  Professor, Department of Information Technology, Chaitanya Bharathi Institute of Technology(CBIT), Hyderabad, Telangana, India

Keywords:

Big Data, Literature Review, Health Care, Data-Driven Application

Abstract

Big data technologies are progressively utilized for biomedical and health-care informatics research. A lot of biological and clinical data have been created and gathered at a phenomenal speed and scale. For instance, the new age of sequencing technologies empowers the handling of billions of DNA sequence data every day, and the application of electronic health records (EHRs) is archiving a lot of patient data. The cost of getting and breaking down biomedical data is required to diminish drastically with the assistance of innovation redesigns, for example, the rise of new sequencing machines, the advancement of novel equipment and programming for parallel computing, and the broad extension of EHRs. Big data applications introduce new chances to find new information and make novel strategies to enhance the nature of health care. The application of big data in health care is a quickly developing field, with numerous new disclosures and philosophies distributed over the most recent five years. In this paper, we review and talk about big data application in four noteworthy biomedical sub disciplines: (1) bioinformatics, (2) clinical informatics, (3) imaging informatics, and (4) general health informatics. In particular, in bioinformatics, high-throughput tests encourage the research of new expansive affiliation investigations of diseases, and with clinical informatics, the clinical field benefits from the immense measure of gathered patient data for settling on smart choices. Imaging informatics is presently more quickly incorporated with cloud stages to share medical image data and work processes, and general health informatics use big data methods for foreseeing and observing infectious disease flare-ups, for example, Ebola. In this paper, we review the current advance and achievements of big data applications in these health-care domains and condense the difficulties, holes, and chances to enhance and progress big data applications in health care.

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International Journal of Scientific Research in Science and Technology

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Published

2018-02-28

Issue

Volume 4, Issue 2, January-February-2018

Section

Research Articles

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How to Cite

[1]
Sridhar Gujjeti, Dr. Suresh Pabboju, " A Review on Big Data Application in Health Care, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 4, Issue 2, pp.1231-1238, January-February-2018.