MNSSp3: medical big data privacy protection platform based on internet of things
Integrity signals
Registry
Cites
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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?
Privacy-preserving methods often come with trade-offs in accuracy and computational efficiency.
“However, these methods often come with trade-offs in accuracy and computational efficiency.”
From The role of multimodality in clinical disease diagnosis: advances, challenges, and opportunities (2026) · cites this paper as [35]
The citation lists haven’t been fetched yet
References 60 · Cited by 38
- Authors
- Wu, X., Zhang, Y., Wang, A., Shi, M., Wang, H., & Liu, L.
- Affiliations
- Xuzhou Medical College (CN)
- Corresponding author
- Wu, Xiang
- Venue
- Neural Computing and Applications
- Published
- 2020-05-23
- Volume
- 34
- Issue
- 14
- Pages
- 11491-11505
- ISSN
- 0941-0643 (ISSN-L)
- 1433-3058
- OpenAlex
- W3026593668
- Cited by
- 38
- References
- 60
- Citations by year
- 2026: 2 · 2025: 5 · 2024: 8 · 2023: 7 · 2022: 12 · 2021: 4
- FWCI
- 2.26
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Neural Computing and Applications (publishedVersion)
- Funders
- The Natural science fund for colleges and universities of Jiangsu province (18KJB520049)
- The industry University- Research-Cooperation Project in Jiangsu Province (BY2018124)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Privacy-Preserving Technologies in Data
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Keywords
- big data in healthcare, privacy preservation, data sharing platform, Internet of Things, electronic health records, privacy-preserving data mining, data security
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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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