Deep Learning-Based Emergency Care Process Reengineering of Interventional Data for Patients with Emergency Time-Series Events of Myocardial Infarction.

Gao N, Xu Y, Tu L, Zhu S, Zhang S

Open source

DOI
10.1155/2022/7339930
Published
2022
Container
Journal of healthcare engineering
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1155/2022/7339930,
  title = {Deep Learning-Based Emergency Care Process Reengineering of Interventional Data for Patients with Emergency Time-Series Events of Myocardial Infarction.},
  author = {Gao N and Xu Y and Tu L and Zhu S and Zhang S},
  year = {2022},
  journal = {Journal of healthcare engineering},
  doi = {10.1155/2022/7339930},
  url = {https://doi.org/10.1155/2022/7339930}
}

RIS

TY  - JOUR
TI  - Deep Learning-Based Emergency Care Process Reengineering of Interventional Data for Patients with Emergency Time-Series Events of Myocardial Infarction.
AU  - Gao N
AU  - Xu Y
AU  - Tu L
AU  - Zhu S
AU  - Zhang S
PY  - 2022
JO  - Journal of healthcare engineering
DO  - 10.1155/2022/7339930
UR  - https://doi.org/10.1155/2022/7339930
ER  - 

APA

N, G., Y, X., L, T., S, Z., & S, Z. (2022). Deep Learning-Based Emergency Care Process Reengineering of Interventional Data for Patients with Emergency Time-Series Events of Myocardial Infarction.. Journal of healthcare engineering. https://doi.org/10.1155/2022/7339930

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