An effective PO-RSNN and FZCIS based diabetes prediction and stroke analysis in the metaverse environment.
- DOI
- 10.1038/s41598-025-96541-2
- Published
- 2025 Apr 4
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-025-96541-2,
title = {An effective PO-RSNN and FZCIS based diabetes prediction and stroke analysis in the metaverse environment.},
author = {Karpagam M and Sarumathi S and Maheshwari A and Vijayalakshmi K and Jagadeesh K and Bereznychenko V and Narayanamoorthi R},
year = {2025},
journal = {Scientific reports},
doi = {10.1038/s41598-025-96541-2},
url = {https://doi.org/10.1038/s41598-025-96541-2}
}RIS
TY - JOUR TI - An effective PO-RSNN and FZCIS based diabetes prediction and stroke analysis in the metaverse environment. AU - Karpagam M AU - Sarumathi S AU - Maheshwari A AU - Vijayalakshmi K AU - Jagadeesh K AU - Bereznychenko V AU - Narayanamoorthi R PY - 2025 JO - Scientific reports DO - 10.1038/s41598-025-96541-2 UR - https://doi.org/10.1038/s41598-025-96541-2 ER -
APA
M, K., S, S., A, M., K, V., K, J., V, B., & R, N. (2025). An effective PO-RSNN and FZCIS based diabetes prediction and stroke analysis in the metaverse environment.. Scientific reports. https://doi.org/10.1038/s41598-025-96541-2
Source records
- pubmed · retrieved 2026-09-25T21:57:16.351Z