Prediction of blood glucose level based on lipid profile and blood pressure using multiple linear regression model
Diabetes mellitus refers to a metabolic disorder that occurs due to insulin resistance and/or inability to produce enough insulin from islet β–cells in pancreas leads to increasing levels of blood glucose. Due to perturbation towards current diabetes screening and diagnosis procedures that require f...
| Principais autores: | , |
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| Formato: | Conference or Workshop Item |
| Idioma: | English English |
| Publicado em: |
Springer, Singapore
2021
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| Acesso em linha: | http://umpir.ump.edu.my/id/eprint/32703/1/Prediction%20of%20blood%20glucose%20level%20based%20on%20lipid%20profile_FULL.pdf http://umpir.ump.edu.my/id/eprint/32703/2/Prediction%20of%20blood%20glucose%20level%20based%20on%20lipid%20profile.pdf |
| _version_ | 1825814087923138560 |
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| author | Qurratu 'Aini Aishah, Ahmad Fazil Ummu Kulthum, Jamaludin |
| author_facet | Qurratu 'Aini Aishah, Ahmad Fazil Ummu Kulthum, Jamaludin |
| author_sort | Qurratu 'Aini Aishah, Ahmad Fazil |
| collection | UMP |
| description | Diabetes mellitus refers to a metabolic disorder that occurs due to insulin resistance and/or inability to produce enough insulin from islet β–cells in pancreas leads to increasing levels of blood glucose. Due to perturbation towards current diabetes screening and diagnosis procedures that require fasting, oral glucose consumption and involve invasive and finger-pricks, numbers of undiagnosed diabetes mellitus kept increasing due to hesitation of these people to take screening tests as their routine check-up. Since diabetes mellitus is closely related to blood glucose level, a multiple linear regression model for predicting the blood glucose level gives the impression as one of the alternatives. Thus, this study proposed a multiple linear regression equation for predicting the fasting blood glucose level based on independent parameters of lipid profile and blood pressure as high blood cholesterol and high blood pressure are known as risk factors for diabetes. There are 302 data collected from UMP’s retrospective data via data directory from University Health Centre in 2017 to 2018. This study shows that the adjusted R2 of 46.8% for multiple linear regression model of fasting blood glucose level was obtained to predict the possibility of pre-screening diabetes without fasting procedures. This model equation was solely based on high density lipoprotein cholesterol, triglyceride and systolic blood pressure levels with the prediction made by the model are acceptable with moderate accuracy (MAPE = 9.46%). In order to increase the accuracy of the model, future research should consider a bigger and wider cohort from different comorbidities background which can be an alternative method in screening diabetes mellitus. |
| first_indexed | 2024-03-06T12:53:39Z |
| format | Conference or Workshop Item |
| id | UMPir32703 |
| institution | Universiti Malaysia Pahang |
| language | English English |
| last_indexed | 2024-03-06T12:53:39Z |
| publishDate | 2021 |
| publisher | Springer, Singapore |
| record_format | dspace |
| spelling | UMPir327032022-02-22T07:27:35Z http://umpir.ump.edu.my/id/eprint/32703/ Prediction of blood glucose level based on lipid profile and blood pressure using multiple linear regression model Qurratu 'Aini Aishah, Ahmad Fazil Ummu Kulthum, Jamaludin TJ Mechanical engineering and machinery Diabetes mellitus refers to a metabolic disorder that occurs due to insulin resistance and/or inability to produce enough insulin from islet β–cells in pancreas leads to increasing levels of blood glucose. Due to perturbation towards current diabetes screening and diagnosis procedures that require fasting, oral glucose consumption and involve invasive and finger-pricks, numbers of undiagnosed diabetes mellitus kept increasing due to hesitation of these people to take screening tests as their routine check-up. Since diabetes mellitus is closely related to blood glucose level, a multiple linear regression model for predicting the blood glucose level gives the impression as one of the alternatives. Thus, this study proposed a multiple linear regression equation for predicting the fasting blood glucose level based on independent parameters of lipid profile and blood pressure as high blood cholesterol and high blood pressure are known as risk factors for diabetes. There are 302 data collected from UMP’s retrospective data via data directory from University Health Centre in 2017 to 2018. This study shows that the adjusted R2 of 46.8% for multiple linear regression model of fasting blood glucose level was obtained to predict the possibility of pre-screening diabetes without fasting procedures. This model equation was solely based on high density lipoprotein cholesterol, triglyceride and systolic blood pressure levels with the prediction made by the model are acceptable with moderate accuracy (MAPE = 9.46%). In order to increase the accuracy of the model, future research should consider a bigger and wider cohort from different comorbidities background which can be an alternative method in screening diabetes mellitus. Springer, Singapore 2021-10 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/32703/1/Prediction%20of%20blood%20glucose%20level%20based%20on%20lipid%20profile_FULL.pdf pdf en http://umpir.ump.edu.my/id/eprint/32703/2/Prediction%20of%20blood%20glucose%20level%20based%20on%20lipid%20profile.pdf Qurratu 'Aini Aishah, Ahmad Fazil and Ummu Kulthum, Jamaludin (2021) Prediction of blood glucose level based on lipid profile and blood pressure using multiple linear regression model. In: Lecture Notes in Mechanical Engineering; Human Engineering Symposium, HUMENS 2021 , 22 February 2021 , Virtual Conference. pp. 43-61.. ISSN 2195-4356 ISBN 978-981164114-5 (Published) https://doi.org/10.1007/978-981-16-4115-2_4 |
| spellingShingle | TJ Mechanical engineering and machinery Qurratu 'Aini Aishah, Ahmad Fazil Ummu Kulthum, Jamaludin Prediction of blood glucose level based on lipid profile and blood pressure using multiple linear regression model |
| title | Prediction of blood glucose level based on lipid profile and blood pressure using multiple linear regression model |
| title_full | Prediction of blood glucose level based on lipid profile and blood pressure using multiple linear regression model |
| title_fullStr | Prediction of blood glucose level based on lipid profile and blood pressure using multiple linear regression model |
| title_full_unstemmed | Prediction of blood glucose level based on lipid profile and blood pressure using multiple linear regression model |
| title_short | Prediction of blood glucose level based on lipid profile and blood pressure using multiple linear regression model |
| title_sort | prediction of blood glucose level based on lipid profile and blood pressure using multiple linear regression model |
| topic | TJ Mechanical engineering and machinery |
| url | http://umpir.ump.edu.my/id/eprint/32703/1/Prediction%20of%20blood%20glucose%20level%20based%20on%20lipid%20profile_FULL.pdf http://umpir.ump.edu.my/id/eprint/32703/2/Prediction%20of%20blood%20glucose%20level%20based%20on%20lipid%20profile.pdf |
| work_keys_str_mv | AT qurratuainiaishahahmadfazil predictionofbloodglucoselevelbasedonlipidprofileandbloodpressureusingmultiplelinearregressionmodel AT ummukulthumjamaludin predictionofbloodglucoselevelbasedonlipidprofileandbloodpressureusingmultiplelinearregressionmodel |