Blood glucose level prediction using intelligent based modeling techniques

In this paper, new methods of blood glucose (BG) level modeling and prediction using artificial intelligent (AI) based techniques have been suggested. The obtained data was windowed and normalized prior to the application of AI based modeling techniques for the estimation of appropriate model p...

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Main Authors:	Aibinu, Abiodun Musa, Salami, Momoh Jimoh Emiyoka, Shafie, Amir Akramin
Format:	Conference or Workshop Item
Language:	English
Published:	2010
Subjects:	RA0421 Public health. Hygiene. Preventive Medicine
Online Access:	http://irep.iium.edu.my/1772/ http://irep.iium.edu.my/1772/1/Blood_Glucose_Level_Prediction_Using_Modeling.pdf

id	iium-1772
recordtype	eprints
spelling	iium-17722011-09-09T03:14:29Z http://irep.iium.edu.my/1772/ Blood glucose level prediction using intelligent based modeling techniques Aibinu, Abiodun Musa Salami, Momoh Jimoh Emiyoka Shafie, Amir Akramin RA0421 Public health. Hygiene. Preventive Medicine In this paper, new methods of blood glucose (BG) level modeling and prediction using artificial intelligent (AI) based techniques have been suggested. The obtained data was windowed and normalized prior to the application of AI based modeling techniques for the estimation of appropriate model parameters. The obtained parameters can be used to predict the next pre-breakfast BG level. Performance analysis of the suggested techniques have been evaluated using pre-breakfast BG level data and results obtained show that the techniques especially the hybrid AIS technique can accurately predict next BG level, thus critical emergency can be avoided and at the same time injection of insulin dosages and appropriate meals for a diabetic patient can be prepared ahead of time. 2010 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/1772/1/Blood_Glucose_Level_Prediction_Using_Modeling.pdf Aibinu, Abiodun Musa and Salami, Momoh Jimoh Emiyoka and Shafie, Amir Akramin (2010) Blood glucose level prediction using intelligent based modeling techniques. In: TENCON 2010, 21-24 November 2010, Fukuoka International Convention Center, Fukuoka City, Japan.
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	RA0421 Public health. Hygiene. Preventive Medicine
spellingShingle	RA0421 Public health. Hygiene. Preventive Medicine Aibinu, Abiodun Musa Salami, Momoh Jimoh Emiyoka Shafie, Amir Akramin Blood glucose level prediction using intelligent based modeling techniques
description	In this paper, new methods of blood glucose (BG) level modeling and prediction using artificial intelligent (AI) based techniques have been suggested. The obtained data was windowed and normalized prior to the application of AI based modeling techniques for the estimation of appropriate model parameters. The obtained parameters can be used to predict the next pre-breakfast BG level. Performance analysis of the suggested techniques have been evaluated using pre-breakfast BG level data and results obtained show that the techniques especially the hybrid AIS technique can accurately predict next BG level, thus critical emergency can be avoided and at the same time injection of insulin dosages and appropriate meals for a diabetic patient can be prepared ahead of time.
format	Conference or Workshop Item
author	Aibinu, Abiodun Musa Salami, Momoh Jimoh Emiyoka Shafie, Amir Akramin
author_facet	Aibinu, Abiodun Musa Salami, Momoh Jimoh Emiyoka Shafie, Amir Akramin
author_sort	Aibinu, Abiodun Musa
title	Blood glucose level prediction using intelligent based modeling techniques
title_short	Blood glucose level prediction using intelligent based modeling techniques
title_full	Blood glucose level prediction using intelligent based modeling techniques
title_fullStr	Blood glucose level prediction using intelligent based modeling techniques
title_full_unstemmed	Blood glucose level prediction using intelligent based modeling techniques
title_sort	blood glucose level prediction using intelligent based modeling techniques
publishDate	2010
url	http://irep.iium.edu.my/1772/ http://irep.iium.edu.my/1772/1/Blood_Glucose_Level_Prediction_Using_Modeling.pdf
first_indexed	2023-09-18T20:09:16Z
last_indexed	2023-09-18T20:09:16Z
_version_	1777407368094547968

Blood glucose level prediction using intelligent based modeling techniques

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