Neural network system for outpatient management of insulin dependent patients

Author

Mougiakakou, Stavroula G. ; Nikita, Konstantina S.

Author_Institution

Dept. of Electr. & Comput. Eng., Nat. Tech. Univ. of Athens, Greece

Volume

2

fYear

1999

fDate

36434

Abstract

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 feedforward neural networks trained with a 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

Keywords

backpropagation; decision support systems; diseases; feedforward neural nets; medical computing; backpropagation algorithm; insulin dose; insulin regime prediction; insulin-dependent diabetes mellitus patients; neural network system; outpatient management; Artificial neural networks; Blood; Computer network management; Decision support systems; Diabetes; Feeds; Insulin; Neural networks; Neurons; Sugar;

fLanguage

English

Publisher

ieee

Conference_Titel

[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint

Conference_Location

Atlanta, GA

ISSN

1094-687X

Print_ISBN

0-7803-5674-8

Type

conf

DOI

10.1109/IEMBS.1999.803852

Filename

803852