Retraction Note: Hybrid deep learning framework for cardiovascular disease diagnosis and prognosis using GAN, LSTM, GRU, VARMA, and deep DynaQ network
- DOI
- 10.1038/s41598-026-49102-0
- Published
- 2026-04-20
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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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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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-49102-0,
title = {Retraction Note: Hybrid deep learning framework for cardiovascular disease diagnosis and prognosis using GAN, LSTM, GRU, VARMA, and deep DynaQ network},
author = {Vijayasimha A and Avanija J},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-49102-0},
url = {https://doi.org/10.1038/s41598-026-49102-0}
}RIS
TY - JOUR TI - Retraction Note: Hybrid deep learning framework for cardiovascular disease diagnosis and prognosis using GAN, LSTM, GRU, VARMA, and deep DynaQ network AU - Vijayasimha A AU - Avanija J PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-49102-0 UR - https://doi.org/10.1038/s41598-026-49102-0 ER -
APA
A, V., & J, A. (2026). Retraction Note: Hybrid deep learning framework for cardiovascular disease diagnosis and prognosis using GAN, LSTM, GRU, VARMA, and deep DynaQ network. Scientific Reports. https://doi.org/10.1038/s41598-026-49102-0
Source records
- crossref · retrieved 2026-09-25T19:29:40.065Z