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Cloud-centric IoT based disease diagnosis healthcare framework
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“Although the aforementioned eHealth frameworks have explored Fog/Edge computing for rapid access and processing of medical data, patient's security and privacy are not addressed in those proposals.”
From Blockchain leveraged decentralized IoT ehealth framework (2020) · cites this paper as [29]
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Metadata
- Authors
- Verma, P., & Sood, S. K.
- Affiliations
- Guru Nanak Dev University (IN)
- Corresponding author
- Verma, Prabal
- Venue
- Journal of Parallel and Distributed Computing
- Publisher
- Elsevier BV
- Published
- 2018-06
- Volume
- 116
- Pages
- 27-38
- ISSN
- 0743-7315 (ISSN-L)
- OpenAlex
- W2774270830
- Cited by
- 246
- References
- 39
- Citations by year
- 2026: 8 · 2025: 13 · 2024: 18 · 2023: 36 · 2022: 52 · 2021: 50 · 2020: 28 · 2019: 26 · 2018: 13
- FWCI
- 34.62
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Parallel and Distributed Computing (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
- Keywords
- Internet of Things, cloud computing, disease diagnosis, disease prediction, disease severity, health monitoring, biomedical sensors, machine learning classifiers
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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