An efficient edge/cloud medical system for rapid detection of level of consciousness in emergency medicine based on explainable machine learning models.
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%0 Journal Article
%1 journals/nca/ElRashidySSA23
%A El-Rashidy, Nora
%A Sedik, Ahmed
%A Siam, Ali I.
%A Ali, Zainab Hassan
%D 2023
%J Neural Comput. Appl.
%K dblp
%N 14
%P 10695-10716
%T An efficient edge/cloud medical system for rapid detection of level of consciousness in emergency medicine based on explainable machine learning models.
%U http://dblp.uni-trier.de/db/journals/nca/nca35.html#ElRashidySSA23
%V 35
@article{journals/nca/ElRashidySSA23,
added-at = {2023-09-30T00:00:00.000+0200},
author = {El-Rashidy, Nora and Sedik, Ahmed and Siam, Ali I. and Ali, Zainab Hassan},
biburl = {https://www.bibsonomy.org/bibtex/2a3445c26fc1bde69bff1d55b37c5f150/dblp},
ee = {https://doi.org/10.1007/s00521-023-08258-w},
interhash = {896b933ffad0fdd5f3568093891699fe},
intrahash = {a3445c26fc1bde69bff1d55b37c5f150},
journal = {Neural Comput. Appl.},
keywords = {dblp},
month = May,
number = 14,
pages = {10695-10716},
timestamp = {2024-04-08T09:59:35.000+0200},
title = {An efficient edge/cloud medical system for rapid detection of level of consciousness in emergency medicine based on explainable machine learning models.},
url = {http://dblp.uni-trier.de/db/journals/nca/nca35.html#ElRashidySSA23},
volume = 35,
year = 2023
}
