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

Sadrawi M, Fan SZ, Abbod MF, Jen KK, Shieh JS.

DOI: 10.1155/2015/536863
Published: 2015-10-13
Container: Biomed Res Int
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1155/2015/536863,
  title = {Computational Depth of Anesthesia via Multiple Vital Signs Based on Artificial Neural Networks.},
  author = {Sadrawi M and  Fan SZ and  Abbod MF and  Jen KK and  Shieh JS.},
  year = {2015},
  journal = {Biomed Res Int},
  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  - Sadrawi M
AU  -  Fan SZ
AU  -  Abbod MF
AU  -  Jen KK
AU  -  Shieh JS.
PY  - 2015
JO  - Biomed Res Int
DO  - 10.1155/2015/536863
UR  - https://doi.org/10.1155/2015/536863
ER  -

APA

M, S., SZ, F., MF, A., KK, J., & JS., S. (2015). Computational Depth of Anesthesia via Multiple Vital Signs Based on Artificial Neural Networks.. Biomed Res Int. https://doi.org/10.1155/2015/536863

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europe-pmc · retrieved 2026-09-25T03:44:53.735Z