Applications of Big Data Analytics in the Field of Medical Diagnosis : A Review

Authors

  • Mubashir Hussain  Department of Computer Science and Information technology, BCJU, University of Jammu, India
  • Jatinder Manhas  Department of Computer Science and Information technology, BCJU, University of Jammu, India

Keywords:

Big Data Science, Medical Sciences, Big Data Analytics (BDA), Value-based Learning, Healthcare, Statistics.

Abstract

Big data science has revolutionized almost every field in today’s world including healthcare sciences which has completely utilized the potential of BDA in enhancing human healthcare by reducing the number of readmission, better decision making, proper medication etc. meanwhile reducing the healthcare cost. The main focus of this paper is to provide a deep insight into the applications of data sciences in the field of medical sciences by investigating the previous studies made in this field. This study has focused on analyzing relevant previous research articles about medical diagnosis and analytics by searching in several popular databases in order to understand the healthcare topic and conduct our literature review. Methods and technology progress about Big Data are presented in this study that has been used to improve healthcare performance in many areas such as: medical operations, reports, decision making, and prediction and prevention system. This paper provides a general literature survey of recent progress and advances in data science, healthcare and biomedical research. In the final part of the paper, the most significant conclusions and suggestions are offered.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2019-06-30

Issue

Volume 5, Issue 3, May-June-2019

Section

Research Articles

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How to Cite

[1]
Mubashir Hussain, Jatinder Manhas, " Applications of Big Data Analytics in the Field of Medical Diagnosis : A Review, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 3, pp.625-638, May-June-2019.