Integration of 5G and Block-Chain Technologies in Smart Telemedicine Using IoT Article Swipe
Kashif Hameed
,
Imran Sarwar Bajwa
,
Nadeem Sarwar
,
Waheed Anwar
,
Zaigham Mushtaq
,
Tayyaba Rashid
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1155/2021/8814364
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1155/2021/8814364
The Internet of Health Thing (IoHT) has various applications in healthcare. Modern IoHTintegrates health-related things like sensors and remotely observed medical devices for the assessment and managment of a patient's record to provide smarter and efficient health diagnostics to the patient. In this paper, we proposed an IoT with a cloud-based clinical decision support system for prediction and observation of disease with its severity level with the integration of 5G services and block-chain technologies. A block-chain is a system for storing and sharing information that is secure because of its transparency. Block-chain has many applications in healthcare and can improve mobile health applications, monitoring devices, sharing and storing of the electronic media records, clinical trial data, and insurance information storage. The proposed framework will collect the data of patients through medical devices that will be attached to the patient, and these data will be stored in a cloud server with relevant medical records. Deployment of Block-chain and 5G technology allows for sending patient data securely at a fast transmission rate with efficient response time. Furthermore, a Neural Network (NN) classifier is used for the prediction of diseases and their severity level. The proposed model is validated by employing different classifiers. The performance of different classifiers is measured by comparing the values to select the classifier that is the best for the dataset. The NN classifier attains an accuracy of 98.98. Furthermore, the NN is trained for the dataset so that it can predict the result of the dataset class that is not labeled. The trained Neural Network predicts and intelligently shows the results with more accuracy than other classifiers.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1155/2021/8814364
- https://downloads.hindawi.com/journals/jhe/2021/8814364.pdf
- OA Status
- hybrid
- Cited By
- 67
- References
- 32
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3139077982
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3139077982Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1155/2021/8814364Digital Object Identifier
- Title
-
Integration of 5G and Block-Chain Technologies in Smart Telemedicine Using IoTWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-03-22Full publication date if available
- Authors
-
Kashif Hameed, Imran Sarwar Bajwa, Nadeem Sarwar, Waheed Anwar, Zaigham Mushtaq, Tayyaba RashidList of authors in order
- Landing page
-
https://doi.org/10.1155/2021/8814364Publisher landing page
- PDF URL
-
https://downloads.hindawi.com/journals/jhe/2021/8814364.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
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https://downloads.hindawi.com/journals/jhe/2021/8814364.pdfDirect OA link when available
- Concepts
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Computer science, Cloud computing, Telemedicine, Software deployment, Block (permutation group theory), Health care, Classifier (UML), Artificial neural network, Machine learning, Data mining, Artificial intelligence, Real-time computing, Economic growth, Mathematics, Geometry, Operating system, EconomicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
67Total citation count in OpenAlex
- Citations by year (recent)
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2025: 7, 2024: 16, 2023: 20, 2022: 13, 2021: 8Per-year citation counts (last 5 years)
- References (count)
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32Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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