Neural network system for outpatient management of insulin dependent patients

Mougiakakou Stavroula, G; Nikita Konstantina, S

dc.contributor.author	Mougiakakou Stavroula, G	en
dc.contributor.author	Nikita Konstantina, S	en
dc.date.accessioned	2014-03-01T02:41:37Z
dc.date.available	2014-03-01T02:41:37Z
dc.date.issued	1999	en
dc.identifier.issn	05891019	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/30562
dc.subject	Artificial Neural Network	en
dc.subject	Back Propagation	en
dc.subject	Back Propagation Algorithm	en
dc.subject	diabetes mellitus	en
dc.subject	insulin dependent diabetes mellitus	en
dc.subject	Decision Support System	en
dc.subject	Feedforward Neural Network	en
dc.subject	Neural Network	en
dc.subject.other	Algorithms	en
dc.subject.other	Backpropagation	en
dc.subject.other	Decision support systems	en
dc.subject.other	Drug therapy	en
dc.subject.other	Feedforward neural networks	en
dc.subject.other	Insulin	en
dc.subject.other	Insulin-dependent diabetes mellitus	en
dc.subject.other	Outpatient management	en
dc.subject.other	Health care	en
dc.title	Neural network system for outpatient management of insulin dependent patients	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/IEMBS.1999.803852	en
heal.identifier.secondary	http://dx.doi.org/10.1109/IEMBS.1999.803852	en
heal.publicationDate	1999	en
heal.abstract	This paper describes a decision support system, which is able to predict the insulin regime and dose to be taken by insulin-dependent diabetes mellitus (IDDM) patients for a short time period. The system is implemented using two feed forward neural networks trained with back-propagation algorithm. The output of the first neural network provides information about the insulin regime that has to be followed by the patient, while the output of the second neural network suggests the type and the dose of insulin to be taken.	en
heal.publisher	IEEE, Piscataway, NJ, United States	en
heal.journalName	Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings	en
dc.identifier.doi	10.1109/IEMBS.1999.803852	en
dc.identifier.volume	2	en
dc.identifier.spage	697	en