The DOI matches its Crossref record; its reference list is not available.
Internet of Things and Bigdata Analytics in Preventive Healthcare: A Synthetic Review
Open accessPreprint — published as 10.3390/electronics13183642
Abstract
Background: IoT and Big Data are newer technologies that can provide substantial support for healthcare systems and help overcome their shortcomings. The aim of this paper was to analyze literature production descriptively, thematically, and chronologically from an interdisciplinary perspective in a holistic way to identify the most prolific research entities and themes. Methods: The synthetic knowledge synthesis qualitatively and quantitatively analyzes the production of literature through a combination of descriptive bibliometrics, bibliometric mapping and content analysis. For this analysis the Scopus bibliometric database was used. Results: In the Scopus database, 2272 publications were found, which were published between 1985 and June 10, 2024. The first article in this field was published in 1985. Until 2012 the production of literature was steady increasing, after that exponential growth began, which reached its peak in 2023. The most productive countries were the USA, India, China, the United Kingdom, South Korea, Germany and Italy. The content analysis resulted in 8 themes (four from the perspective of computer science and four from the perspective of medicine) and 21 thematic concepts (eight from the perspective of computer science and 13 from the perspective of medicine). Conclusions: The results show that IoT and Big Data have become key technologies in preventive health. The study outcomes might represent a starting point for the further development of research that combines multidisciplinary aspects of healthcare.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“While AI models have shown increasing technical prowess [50], their effective adoption hinges on alignment with clinical workflows, user needs, and the complex realities of healthcare environments.”
From Explainable AI for Clinical Decision Support Systems: Literature Review, Key Gaps, and Research Synthesis (2025) · cites this paper as [50]
Citations
No citation lists for this paper
No citation lists for this paper yet — checked again daily.
References 104 · Cited by 19
Metadata
- Authors
- Šajnović, U., Vošner, H. B., Završnik, J., Žlahtič, B., & Kokol, P.
- Affiliations
- Alma Mater Europaea (SI)
- University of Maribor (SI)
- Corresponding author
- Kokol, Peter
- Venue
- Electronics
- Publisher
- MDPI AG
- Published
- 2024-08-07
- Volume
- 13
- Issue
- 18
- Pages
- 3642-3642
- ISSN
- 2079-9292 (ISSN-L)
- OpenAlex
- W4402480415
- Cited by
- 19
- References
- 104
- Citations by year
- 2026: 4 · 2025: 14 · 2024: 1
- FWCI
- 7.16
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Electronics (publishedVersion, cc-by)
- Preprints.org (acceptedVersion, cc-by)
- Topics
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Keywords
- Internet of Things, big data analytics, preventive medicine, health technology, research trends, science mapping, interdisciplinary research
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Internet of Things and Bigdata Analytics in Preventive Healthcare: A Synthetic Review. https://app.cochat.ai/papers/10.20944/preprints202408.0445.v1
- The paper
- Šajnović, U., Vošner, H. B., Završnik, J., Žlahtič, B., & Kokol, P. (2024). Internet of Things and Bigdata Analytics in Preventive Healthcare: A Synthetic Review. Electronics. https://doi.org/10.20944/preprints202408.0445.v1