Retraction Note: An effective PO-RSNN and FZCIS based diabetes prediction and stroke analysis in the metaverse environment
- DOI
- 10.1038/s41598-026-55044-4
- Published
- 2026-06-03
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
Credibility signals
serious concern Score 29/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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- serious concernRetraction Watch retraction: 1 retraction notice matched this DOI.
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-55044-4,
title = {Retraction Note: An effective PO-RSNN and FZCIS based diabetes prediction and stroke analysis in the metaverse environment},
author = {M. Karpagam and S. Sarumathi and A. Maheshwari and K. Vijayalakshmi and K. Jagadeesh and V. Bereznychenko and R. Narayanamoorthi},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-55044-4},
url = {https://doi.org/10.1038/s41598-026-55044-4}
}RIS
TY - JOUR TI - Retraction Note: An effective PO-RSNN and FZCIS based diabetes prediction and stroke analysis in the metaverse environment AU - M. Karpagam AU - S. Sarumathi AU - A. Maheshwari AU - K. Vijayalakshmi AU - K. Jagadeesh AU - V. Bereznychenko AU - R. Narayanamoorthi PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-55044-4 UR - https://doi.org/10.1038/s41598-026-55044-4 ER -
APA
Karpagam, M., Sarumathi, S., Maheshwari, A., Vijayalakshmi, K., Jagadeesh, K., Bereznychenko, V., & Narayanamoorthi, R. (2026). Retraction Note: An effective PO-RSNN and FZCIS based diabetes prediction and stroke analysis in the metaverse environment. Scientific Reports. https://doi.org/10.1038/s41598-026-55044-4
Source records
- crossref · retrieved 2026-09-26T13:31:58.315Z