The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Health-CPS: Healthcare Cyber-Physical System Assisted by Cloud and Big Data
Abstract
The advances in information technology have witnessed great progress on healthcare technologies in various domains nowadays. However, these new technologies have also made healthcare data not only much bigger but also much more difficult to handle and process. Moreover, because the data are created from a variety of devices within a short time span, the characteristics of these data are that they are stored in different formats and created quickly, which can, to a large extent, be regarded as a big data problem. To provide a more convenient service and environment of healthcare, this paper proposes a cyber-physical system for patient-centric healthcare applications and services, called Health-CPS, built on cloud and big data analytics technologies. This system consists of a data collection layer with a unified standard, a data management layer for distributed storage and parallel computing, and a data-oriented service layer. The results of this study show that the technologies of cloud and big data can be used to enhance the performance of the healthcare system so that humans can then enjoy various smart healthcare applications and services.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Chen, M., Mao, S., & Liu, Y. (2014) · Mobile Networks and Applications · doi:10.1007/s11036-013-0489-0 · Cited by 2,913
Emc: Emotion-aware mobile cloud computing in 5G
Chen, M., Zhang, Y., Li, Y., Mao, S., & Leung, V. C. M. (2015) · IEEE Network · doi:10.1109/mnet.2015.7064900 · Cited by 179
Self-citation
Cited by
Disease Prediction by Machine Learning Over Big Data From Healthcare Communities
Chen, M., Hao, Y., Hwang, K., Wang, L., & Wang, L. (2017) · IEEE Access · doi:10.1109/access.2017.2694446 · Cited by 1,311
Yue, X., Wang, H., Jin, D., Li, M., & Jiang, W. (2016) · Journal of Medical Systems · doi:10.1007/s10916-016-0574-6 · Cited by 1,240
Deep reinforcement learning for cyber security
Nguyen, T. T., & Reddi, V. J. (2023) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2021.3121870 · Cited by 620
Aceto, G., Persico, V., & Pescapé, A. (2018) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2018.02.008 · Cited by 504
An IoT-cloud Based Wearable ECG Monitoring System for Smart Healthcare
Yang, Z., Zhou, Q., Lei, L., Zheng, K., & Xiang, W. (2016) · Journal of Medical Systems · doi:10.1007/s10916-016-0644-9 · Cited by 490
Metadata
- Authors
- Zhang, Y., Qiu, M., Tsai, C.-W., Hassan, M. M., & Alamri, A.
- Venue
- IEEE Systems Journal
- Published
- 2017-03
- Volume
- 11
- Issue
- 1
- Pages
- 88-95
- ISSN
- 1932-8184 (ISSN-L)
- 1937-9234
- 2373-7816
- OpenAlex
- W2525221147
- Cited by
- 922
- References
- 2
- FWCI
- 187.40
- Type
- journal article
- Language
- en
- Open access
- closed
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: Health-CPS: Healthcare Cyber-Physical System Assisted by Cloud and Big Data. https://app.cochat.ai/papers/10.1109/jsyst.2015.2460747
- The paper
- Zhang, Y., Qiu, M., Tsai, C.-W., Hassan, M. M., & Alamri, A. (2017). Health-CPS: Healthcare Cyber-Physical System Assisted by Cloud and Big Data. IEEE Systems Journal. https://doi.org/10.1109/jsyst.2015.2460747
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.