The use of big data techniques in mobile cloud networks has the potential to revolutionize healthcare, but it also presents numerous challenges. This survey explores the current state of the field, including opportunities, limitations, and future directions. It analyzes various mobile cloud-computing technologies and their potential for healthcare applications. The survey also considers the challenges associated with collecting, storing, and analyzing large amounts of healthcare data, including security and privacy concerns. In addition, it discusses the potential benefits of big data techniques for personalized medicine, disease prediction, and prevention. Overall, the survey provides insights into the challenges and opportunities of implementing big data techniques in mobile cloud networks for healthcare and offers recommendations for future research directions.

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Big Data Techniques in Mobile Cloud Networks for Healthcare: A Survey of Challenges, Opportunities, and Future Directions

  • Saleh Al-Sharaeh,
  • Bulqais M. M. Alenezi,
  • Muath Z. Albasheer,
  • Waleed Hisham Al-Fakiat

摘要

The use of big data techniques in mobile cloud networks has the potential to revolutionize healthcare, but it also presents numerous challenges. This survey explores the current state of the field, including opportunities, limitations, and future directions. It analyzes various mobile cloud-computing technologies and their potential for healthcare applications. The survey also considers the challenges associated with collecting, storing, and analyzing large amounts of healthcare data, including security and privacy concerns. In addition, it discusses the potential benefits of big data techniques for personalized medicine, disease prediction, and prevention. Overall, the survey provides insights into the challenges and opportunities of implementing big data techniques in mobile cloud networks for healthcare and offers recommendations for future research directions.