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Cloud-Based Healthcare Architecture for Diabetes Patients Using Machine Learning

In: Economic Recovery, Consolidation, and Sustainable Growth

Author

Listed:
  • Edmira Xhaferra

    (South East European University)

  • Florije Ismaili

    (South East European University)

  • Agron Chaushi

    (South East European University)

Abstract

With the rapid expansion of technology, healthcare sector is highly influenced by digitization. In this regard, the term, electronic health records (EHRs), is extremely used by researchers in the clinical domain. The EHRs are considered the best source for detecting various diseases, such as diabetes. The current study proposes a cloud-based healthcare framework using ML for diabetes patients. The framework consists of mainly three components/layers: IoT layer, fog layer, and cloud layer. Each layer has its duties for developing final outputs regarding the early detection of diabetes in patients. The study shows the proposed framework has several benefits over conventional diabetes diagnosis systems.

Suggested Citation

  • Edmira Xhaferra & Florije Ismaili & Agron Chaushi, 2023. "Cloud-Based Healthcare Architecture for Diabetes Patients Using Machine Learning," Springer Proceedings in Business and Economics, in: Abdylmenaf Bexheti & Hyrije Abazi-Alili & Léo-Paul Dana & Veland Ramadani & Andrea Caputo (ed.), Economic Recovery, Consolidation, and Sustainable Growth, pages 793-800, Springer.
    • Handle: RePEc:spr:prbchp:978-3-031-42511-0_52
    DOI: 10.1007/978-3-031-42511-0_52
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