Glucose level prediction using artificial neural networks
E. Iancu, I. Iancu, D. Istrate, and M. Mota. SMO'09: Proceedings of the 9th WSEAS international conference on Simulation, modelling and optimization, page 407--412. Stevens Point, Wisconsin, USA, World Scientific and Engineering Academy and Society (WSEAS), (2009)
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%0 Conference Paper
%1 1627448
%A Iancu, Eugen
%A Iancu, Ionela
%A Istrate, Dan
%A Mota, Maria
%B SMO'09: Proceedings of the 9th WSEAS international conference on Simulation, modelling and optimization
%C Stevens Point, Wisconsin, USA
%D 2009
%I World Scientific and Engineering Academy and Society (WSEAS)
%K application health-care neural_networks
%P 407--412
%T Glucose level prediction using artificial neural networks
%@ 978-960-474-113-7
@inproceedings{1627448,
added-at = {2010-03-17T14:56:45.000+0100},
address = {Stevens Point, Wisconsin, USA},
author = {Iancu, Eugen and Iancu, Ionela and Istrate, Dan and Mota, Maria},
biburl = {https://www.bibsonomy.org/bibtex/2b786bef6df08a520e24e5feff26cda13/andrea.zanda},
booktitle = {SMO'09: Proceedings of the 9th WSEAS international conference on Simulation, modelling and optimization},
description = {rskt},
interhash = {0ba2d30bbadd2adba0eb857833858cac},
intrahash = {b786bef6df08a520e24e5feff26cda13},
isbn = {978-960-474-113-7},
keywords = {application health-care neural_networks},
location = {Budapest, Hungary},
pages = {407--412},
publisher = {World Scientific and Engineering Academy and Society (WSEAS)},
timestamp = {2010-03-17T15:01:58.000+0100},
title = {Glucose level prediction using artificial neural networks},
year = 2009
}