Hybrid deep learning framework for cardiovascular disease diagnosis and prognosis using GAN, LSTM, GRU, VARMA, and deep DynaQ network.

A V, J A

Open source

DOI
10.1038/s41598-025-25296-7
Published
2025 Nov 21
Container
Scientific reports
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1038/s41598-025-25296-7,
  title = {Hybrid deep learning framework for cardiovascular disease diagnosis and prognosis using GAN, LSTM, GRU, VARMA, and deep DynaQ network.},
  author = {A V and J A},
  year = {2025},
  journal = {Scientific reports},
  doi = {10.1038/s41598-025-25296-7},
  url = {https://doi.org/10.1038/s41598-025-25296-7}
}

RIS

TY  - JOUR
TI  - Hybrid deep learning framework for cardiovascular disease diagnosis and prognosis using GAN, LSTM, GRU, VARMA, and deep DynaQ network.
AU  - A V
AU  - J A
PY  - 2025
JO  - Scientific reports
DO  - 10.1038/s41598-025-25296-7
UR  - https://doi.org/10.1038/s41598-025-25296-7
ER  -

APA

V, A., & A, J. (2025). 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/s41598-025-25296-7

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