Investigation of glucose-insulin model efficacy for diabetes patient in the ICU
This paper investigates the inter-relationship of blood glucose (BG) model fitting error percentage for both diabetic and non-diabetic patient’s status with ICING glucose-insulin model efficacy. Data were taken from 132 critically ill patients admitted in ICU of Hospital Tunku Ampuan Afzan (HTAA), K...
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| Format: | Conference or Workshop Item |
| Language: | English English |
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Springer Verlag
2018
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| Online Access: | http://irep.iium.edu.my/70145/ http://irep.iium.edu.my/70145/ http://irep.iium.edu.my/70145/ http://irep.iium.edu.my/70145/1/70145_Investigation%20of%20glucose-insulin%20model_SCOPUS.pdf http://irep.iium.edu.my/70145/7/70145_Investigation%20of%20Glucose-Insulin%20Model.pdf |
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iium-70145 |
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eprints |
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iium-701452019-02-19T06:18:31Z http://irep.iium.edu.my/70145/ Investigation of glucose-insulin model efficacy for diabetes patient in the ICU Abdul Razak, Athirah Abu-Samah, Asma Abdul Razak, Normy Norfiza Ahamad, Nurhamim Suhaimi, Fatanah M. Jamaludin, Ummu Kulthum Md Ralib, Azrina Mat Nor, Mohd Basri R Medicine (General) This paper investigates the inter-relationship of blood glucose (BG) model fitting error percentage for both diabetic and non-diabetic patient’s status with ICING glucose-insulin model efficacy. Data were taken from 132 critically ill patients admitted in ICU of Hospital Tunku Ampuan Afzan (HTAA), Kuantan, Malaysia. The BG fitting error results are important to determine the efficacy and safety of chosen glucose-insulin model-based. Analysis results of per-patient and by-cohort were used to suggest whether diabetes is an influential factor for model BG fitting error efficacy. For diabetic per-patient and by-cohort, median model fit error are 0.29 and 0.31% respectively Meanwhile, for non-diabetic per-patient and by-cohort model fit error are 0.27 and 0.29% respectively. In conclusion, results demonstrated no significant difference between diabetic and non-diabetic patient in model fitting error. Thus, ICING model may be used to deliver real time model-based insulin therapy whether patient is diabetic or non-diabetic. Springer Verlag 2018 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/70145/1/70145_Investigation%20of%20glucose-insulin%20model_SCOPUS.pdf application/pdf en http://irep.iium.edu.my/70145/7/70145_Investigation%20of%20Glucose-Insulin%20Model.pdf Abdul Razak, Athirah and Abu-Samah, Asma and Abdul Razak, Normy Norfiza and Ahamad, Nurhamim and Suhaimi, Fatanah M. and Jamaludin, Ummu Kulthum and Md Ralib, Azrina and Mat Nor, Mohd Basri (2018) Investigation of glucose-insulin model efficacy for diabetes patient in the ICU. In: 2nd International Conference for Innovation in Biomedical Engineering and Life Sciences, ICIBEL 2017, 10th-13th December 2017, Penang. https://www.springer.com/gp/book/9789811075537 10.1007/978-981-10-7554-4_31 |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
International Islamic University Malaysia |
| building |
IIUM Repository |
| collection |
Online Access |
| language |
English English |
| topic |
R Medicine (General) |
| spellingShingle |
R Medicine (General) Abdul Razak, Athirah Abu-Samah, Asma Abdul Razak, Normy Norfiza Ahamad, Nurhamim Suhaimi, Fatanah M. Jamaludin, Ummu Kulthum Md Ralib, Azrina Mat Nor, Mohd Basri Investigation of glucose-insulin model efficacy for diabetes patient in the ICU |
| description |
This paper investigates the inter-relationship of blood glucose (BG) model fitting error percentage for both diabetic and non-diabetic patient’s status with ICING glucose-insulin model efficacy. Data were taken from 132 critically ill patients admitted in ICU of Hospital Tunku Ampuan Afzan (HTAA), Kuantan, Malaysia. The BG fitting error results are important to determine the efficacy and safety of chosen glucose-insulin model-based. Analysis results of per-patient and by-cohort were used to suggest whether diabetes is an influential factor for model BG fitting error efficacy. For diabetic per-patient and by-cohort, median model fit error are 0.29 and 0.31% respectively Meanwhile, for non-diabetic per-patient and by-cohort model fit error are 0.27 and 0.29% respectively. In conclusion, results demonstrated no significant difference between diabetic and non-diabetic patient in model fitting error. Thus, ICING model may be used to deliver real time model-based insulin therapy whether patient is diabetic or non-diabetic. |
| format |
Conference or Workshop Item |
| author |
Abdul Razak, Athirah Abu-Samah, Asma Abdul Razak, Normy Norfiza Ahamad, Nurhamim Suhaimi, Fatanah M. Jamaludin, Ummu Kulthum Md Ralib, Azrina Mat Nor, Mohd Basri |
| author_facet |
Abdul Razak, Athirah Abu-Samah, Asma Abdul Razak, Normy Norfiza Ahamad, Nurhamim Suhaimi, Fatanah M. Jamaludin, Ummu Kulthum Md Ralib, Azrina Mat Nor, Mohd Basri |
| author_sort |
Abdul Razak, Athirah |
| title |
Investigation of glucose-insulin model efficacy for diabetes patient in the ICU |
| title_short |
Investigation of glucose-insulin model efficacy for diabetes patient in the ICU |
| title_full |
Investigation of glucose-insulin model efficacy for diabetes patient in the ICU |
| title_fullStr |
Investigation of glucose-insulin model efficacy for diabetes patient in the ICU |
| title_full_unstemmed |
Investigation of glucose-insulin model efficacy for diabetes patient in the ICU |
| title_sort |
investigation of glucose-insulin model efficacy for diabetes patient in the icu |
| publisher |
Springer Verlag |
| publishDate |
2018 |
| url |
http://irep.iium.edu.my/70145/ http://irep.iium.edu.my/70145/ http://irep.iium.edu.my/70145/ http://irep.iium.edu.my/70145/1/70145_Investigation%20of%20glucose-insulin%20model_SCOPUS.pdf http://irep.iium.edu.my/70145/7/70145_Investigation%20of%20Glucose-Insulin%20Model.pdf |
| first_indexed |
2023-09-18T21:39:35Z |
| last_indexed |
2023-09-18T21:39:35Z |
| _version_ |
1777413050060505088 |