DocumentCode :
2951620
Title :
Application of Artificial Neural Network (ANN) technique for Diagnosing Diabetes Mellitus
Author :
Dey, Rajeeb ; Bajpai, Vaibhav ; Gandhi, Gagan ; Dey, Barnali
Author_Institution :
Dept. of Electr.&Electron. Eng., Sikkim Manipal Inst. of Technol., Majitar
fYear :
2008
fDate :
8-10 Dec. 2008
Firstpage :
1
Lastpage :
4
Abstract :
The present work is a classification problem applied to diagnosis of diabetes mellitus using back propagation algorithm of artificial neural network (ANN). The data base used for training and testing the ANN has been collected from Sikkim Manipal Institute of Medical Sciences Hospital, Gangtok, Sikkim for the diabetic patients of the state of Sikkim. This work is validated by comparing the network response with the actual hospital data of Sikkim Manipal Institute of Medical Sciences for the first time. This work is a step towards development of prototype system for knowledge classification in this field.
Keywords :
backpropagation; diseases; medical diagnostic computing; neural nets; patient diagnosis; pattern classification; artificial neural network; back propagation algorithm; diabetes mellitus diagnostic; knowledge classification; Artificial neural networks; Back; Blood; Diabetes; Hospitals; Insulin; Medical diagnostic imaging; Paper technology; Sugar; Testing; Artificial Neural Network (ANN); Back propagation algorithm (B.P); Diabetes Mellitus; Sikkim; component;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial and Information Systems, 2008. ICIIS 2008. IEEE Region 10 and the Third international Conference on
Conference_Location :
Kharagpur
Print_ISBN :
978-1-4244-2806-9
Electronic_ISBN :
978-1-4244-2806-9
Type :
conf
DOI :
10.1109/ICIINFS.2008.4798367
Filename :
4798367
Link To Document :
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