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: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2010
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/1772/1/Blood_Glucose_Level_Prediction_Using_Modeling.pdf http://irep.iium.edu.my/1772/ |
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| Summary: | 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. |
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