Cited by 246Internet of Things and AIIoT and Edge/Fog ComputingArtificial Intelligence in Healthcare

Cloud-centric IoT based disease diagnosis healthcare framework

Verma, Prabal, Sood, Sandeep K.·2018·Journal of Parallel and Distributed Computing

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Crossref · 10.1016/j.jpdc.2017.11.018

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39 of 39 references verified0 citation errors · 0 not checkable

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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.

    “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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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 · 2017: 1 · 2012: 1
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

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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.

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