Cloud-Based Healthcare Architecture for Diabetes Patients Using Machine Learning

Edmira Xhaferra (), Florije Ismaili () and Agron Chaushi ()
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Edmira Xhaferra: South East European University
Florije Ismaili: South East European University
Agron Chaushi: South East European University

A chapter in Economic Recovery, Consolidation, and Sustainable Growth, 2023, pp 793-800 from Springer

Abstract: 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.

Keywords: Diabetes; Machine learning; Electronic health records; Diagnosis; Health care (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-031-42511-0_52

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DOI: 10.1007/978-3-031-42511-0_52

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