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...
| Main Authors: | , , |
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| Format: | Proceeding Paper |
| Language: | English |
| Published: |
2010
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/1772/ http://irep.iium.edu.my/1772/1/Blood_Glucose_Level_Prediction_Using_Modeling.pdf |
| _version_ | 1848775915127963648 |
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| 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 |
| building | IIUM Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T14:21:46Z |
| format | Proceeding Paper |
| id | iium-1772 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T14:21:46Z |
| publishDate | 2010 |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 Proceeding Paper 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. |
| 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 |
| title | 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_short | Blood glucose level prediction using intelligent based modeling techniques |
| title_sort | blood glucose level prediction using intelligent based modeling techniques |
| topic | RA0421 Public health. Hygiene. Preventive Medicine |
| url | http://irep.iium.edu.my/1772/ http://irep.iium.edu.my/1772/1/Blood_Glucose_Level_Prediction_Using_Modeling.pdf |