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Technical report: mathematical modelling for detecting diabetes / Nurul Hawanis Saharin, Safiah Nadirah Abdul Halim and Nur Miza Syaheera Ghazali

This paper works to formulate the blood glucose level of diabetes. Diabetes is a syndrome of disorder metabolism which due to combination of hereditary and environmental causes. Thus, its resulting in abnormally high blood sugar level. The two most common of diabetes are due to dependent of insulin...

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Main Authors: Saharin, Nurul Hawanis, Abdul Halim, Safiah Nadirah, Ghazali, Nur Miza Syaheera
Format: Student Project
Language:English
Published: 2017
Subjects:
Study and teaching
Equations
Analysis
Online Access:https://ir.uitm.edu.my/id/eprint/109740/1/109740.pdf
https://ir.uitm.edu.my/id/eprint/109740/
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spelling my.uitm.ir.1097402025-02-11T08:40:46Z https://ir.uitm.edu.my/id/eprint/109740/ Technical report: mathematical modelling for detecting diabetes / Nurul Hawanis Saharin, Safiah Nadirah Abdul Halim and Nur Miza Syaheera Ghazali Saharin, Nurul Hawanis Abdul Halim, Safiah Nadirah Ghazali, Nur Miza Syaheera Study and teaching Equations Analysis This paper works to formulate the blood glucose level of diabetes. Diabetes is a syndrome of disorder metabolism which due to combination of hereditary and environmental causes. Thus, its resulting in abnormally high blood sugar level. The two most common of diabetes are due to dependent of insulin (Type 1) and independent of insulin (type 2). It will be explained how the hormones and insulin activated and how its effect glucose level in blood. In this research proposed a mathematical model for the study of diabetes which the subjects based in the results on the glucose tolerance test (GTT) of four to five hours. The model of interaction between glucose and insulin concentration in the body will be formulated and solved. Then, the parameter values can be obtained and substituted into general model to obtain the new predicted glucose concentration. Next, the best fit model for detecting diabetes can be determined. Hence, an indicator will be used which similar to the one that proposed by Osborne (2013) to diagnose a diabetic condition. There are three subjects that will be observed and the data of glucose concentration for each subjects are obtained based on GTT to check the accuracy of the model. As a result, Subject A is the best fit model while Subject C is the good model for detecting diabetes. Then, Subject B is not a good model to detect diabetes. In conclusion, the case of Subject B shows that the model can only be used for mild diabetes or pre-diabetes. 2017 Student Project NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/109740/1/109740.pdf Technical report: mathematical modelling for detecting diabetes / Nurul Hawanis Saharin, Safiah Nadirah Abdul Halim and Nur Miza Syaheera Ghazali. (2017) [Student Project] <http://terminalib.uitm.edu.my/109740.pdf> (Unpublished)
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Study and teaching
Equations
Analysis
spellingShingle Study and teaching
Equations
Analysis
Saharin, Nurul Hawanis
Abdul Halim, Safiah Nadirah
Ghazali, Nur Miza Syaheera
Technical report: mathematical modelling for detecting diabetes / Nurul Hawanis Saharin, Safiah Nadirah Abdul Halim and Nur Miza Syaheera Ghazali
description This paper works to formulate the blood glucose level of diabetes. Diabetes is a syndrome of disorder metabolism which due to combination of hereditary and environmental causes. Thus, its resulting in abnormally high blood sugar level. The two most common of diabetes are due to dependent of insulin (Type 1) and independent of insulin (type 2). It will be explained how the hormones and insulin activated and how its effect glucose level in blood. In this research proposed a mathematical model for the study of diabetes which the subjects based in the results on the glucose tolerance test (GTT) of four to five hours. The model of interaction between glucose and insulin concentration in the body will be formulated and solved. Then, the parameter values can be obtained and substituted into general model to obtain the new predicted glucose concentration. Next, the best fit model for detecting diabetes can be determined. Hence, an indicator will be used which similar to the one that proposed by Osborne (2013) to diagnose a diabetic condition. There are three subjects that will be observed and the data of glucose concentration for each subjects are obtained based on GTT to check the accuracy of the model. As a result, Subject A is the best fit model while Subject C is the good model for detecting diabetes. Then, Subject B is not a good model to detect diabetes. In conclusion, the case of Subject B shows that the model can only be used for mild diabetes or pre-diabetes.
format Student Project
author Saharin, Nurul Hawanis
Abdul Halim, Safiah Nadirah
Ghazali, Nur Miza Syaheera
author_facet Saharin, Nurul Hawanis
Abdul Halim, Safiah Nadirah
Ghazali, Nur Miza Syaheera
author_sort Saharin, Nurul Hawanis
title Technical report: mathematical modelling for detecting diabetes / Nurul Hawanis Saharin, Safiah Nadirah Abdul Halim and Nur Miza Syaheera Ghazali
title_short Technical report: mathematical modelling for detecting diabetes / Nurul Hawanis Saharin, Safiah Nadirah Abdul Halim and Nur Miza Syaheera Ghazali
title_full Technical report: mathematical modelling for detecting diabetes / Nurul Hawanis Saharin, Safiah Nadirah Abdul Halim and Nur Miza Syaheera Ghazali
title_fullStr Technical report: mathematical modelling for detecting diabetes / Nurul Hawanis Saharin, Safiah Nadirah Abdul Halim and Nur Miza Syaheera Ghazali
title_full_unstemmed Technical report: mathematical modelling for detecting diabetes / Nurul Hawanis Saharin, Safiah Nadirah Abdul Halim and Nur Miza Syaheera Ghazali
title_sort technical report: mathematical modelling for detecting diabetes / nurul hawanis saharin, safiah nadirah abdul halim and nur miza syaheera ghazali
publishDate 2017
url https://ir.uitm.edu.my/id/eprint/109740/1/109740.pdf
https://ir.uitm.edu.my/id/eprint/109740/
_version_ 1825165123652681728
score 13.239859

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