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Applications and Challenges in Healthcare Big Data: A Strategic Review.

Deepanshu Khanna1, Neeru Jindal1, Harpreet Singh2

  • 1Department of Electronics and Communication Engineering, Thapar University, Patiala, Punjab, India.

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|March 9, 2022
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This review examines big data applications and challenges in healthcare, covering data mining, storage, analysis, and sharing. It also summarizes deep-learning tools for managing healthcare big data.

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Big databig data analyticsdata mininghealthcare managementsecure healthcare systemsensors

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Area of Science:

  • Health Informatics
  • Data Science
  • Computer Science

Background:

  • The exponential growth of technology generates vast amounts of data.
  • Big data has become a significant focus for researchers and industries over recent decades.
  • Healthcare generates a tremendous amount of data every minute.

Purpose of the Study:

  • To provide a strategic review of big data in the healthcare sector.
  • To highlight the applications and challenges of big data within the healthcare industry.
  • To summarize research tools and processes for managing healthcare big data.

Main Methods:

  • Evaluation of journal articles published between 2016 and 2021.
  • Review of big data applications in healthcare.
  • Analysis of issues related to data mining, storing, analyzing, and sharing.
  • Summary of deep-learning-based tools for big data analytics.

Main Results:

  • Identified various applications of big data in healthcare.
  • Highlighted multiple issues in data mining, storage, analysis, and sharing.
  • Briefly summarized available deep-learning tools for big data analytics.
  • Provided an overview of current research tools and processes for healthcare big data management.

Conclusions:

  • Big data presents both opportunities and challenges in the healthcare sector.
  • Effective management of healthcare big data requires addressing issues in data handling and utilizing advanced analytics tools.
  • The research community can benefit from the summarized tools and processes for managing big data in healthcare.