Computational Depth of Anesthesia via Multiple Vital Signs Based on Artificial Neural Networks

Muammar Sadrawi, Shou-Zen Fan, Maysam F. Abbod, Kuo-Kuang Jen, Jiann-Shing Shieh

Open source

DOI
10.1155/2015/536863
Published
2015
Container
BioMed Research International
Publisher
Wiley
Open access
unknown

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BibTeX

@article{allodium:10.1155/2015/536863,
  title = {Computational Depth of Anesthesia via Multiple Vital Signs Based on Artificial Neural Networks},
  author = {Muammar Sadrawi and Shou-Zen Fan and Maysam F. Abbod and Kuo-Kuang Jen and Jiann-Shing Shieh},
  year = {2015},
  journal = {BioMed Research International},
  doi = {10.1155/2015/536863},
  url = {https://doi.org/10.1155/2015/536863}
}

RIS

TY  - JOUR
TI  - Computational Depth of Anesthesia via Multiple Vital Signs Based on Artificial Neural Networks
AU  - Muammar Sadrawi
AU  - Shou-Zen Fan
AU  - Maysam F. Abbod
AU  - Kuo-Kuang Jen
AU  - Jiann-Shing Shieh
PY  - 2015
JO  - BioMed Research International
DO  - 10.1155/2015/536863
UR  - https://doi.org/10.1155/2015/536863
ER  - 

APA

Sadrawi, M., Fan, S., Abbod, M. F., Jen, K., & Shieh, J. (2015). Computational Depth of Anesthesia via Multiple Vital Signs Based on Artificial Neural Networks. BioMed Research International. https://doi.org/10.1155/2015/536863

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