A Comprehensive Analysis of Chinese, Japanese, Korean, US-PIMA Indian, and Trinidadian Screening Scores for Diabetes Risk Assessment and Prediction
Risk assessment and developing predictive models for diabetes prevention is considered an important task. Therefore, we proposed to analyze and provide a comprehensive analysis of the performance of diabetes screening scores for risk assessment and prediction in five populations: the Chinese, Japane...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI
2022
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| Online Access: | https://repository.ugm.ac.id/278591/1/Alfian_SV.pdf |
| _version_ | 1797037311923322880 |
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| author | Fitriyani, Norma Latif Syafrudin, Muhammad Ulyah, Siti Maghfirotul Alfian, Ganjar Qolbiyani, Syifa Latif Anshari, Muhammad |
| author_facet | Fitriyani, Norma Latif Syafrudin, Muhammad Ulyah, Siti Maghfirotul Alfian, Ganjar Qolbiyani, Syifa Latif Anshari, Muhammad |
| author_sort | Fitriyani, Norma Latif |
| collection | UGM |
| description | Risk assessment and developing predictive models for diabetes prevention is considered an important task. Therefore, we proposed to analyze and provide a comprehensive analysis of the performance of diabetes screening scores for risk assessment and prediction in five populations: the Chinese, Japanese, Korean, US-PIMA Indian, and Trinidadian populations, utilizing statistical and machine learning (ML) methods. Additionally, due to the present COVID-19 epidemic, it is necessary to investigate how diabetes and COVID-19 are related to one another. Thus, by using a sample of the Korean population, the interrelationship between diabetes and COVID-19 was further
investigated. The results revealed that by using a statistical method, the optimal cut points among Chinese, Japanese, Korean, US-PIMA Indian, and Trinidadian populations were 6.205 mmol/L (FPG), 5.523 mmol/L (FPG), and 5.375% (HbA1c), 150.50–106.50 mg/dL (FBS), 123.50 mg/dL (2hPG), and 107.50 mg/dL (FBG), respectively, with AUC scores of 0.97, 0.80, 0.78, 0.85, 0.79, and 0.905. The results also confirmed that diabetes has a significant relationship with COVID-19 in the Korean population
(p-value 0.001), with an adjusted OR of 1.21. Finally, the overall best ML models were performed by Naïve Bayes with AUC scores of 0.736, 0.75, and 0.83 in the Japanese, Korean, and Trinidadian populations, respectively. |
| first_indexed | 2024-03-14T00:01:28Z |
| format | Article |
| id | oai:generic.eprints.org:278591 |
| institution | Universiti Gadjah Mada |
| language | English |
| last_indexed | 2024-03-14T00:01:28Z |
| publishDate | 2022 |
| publisher | MDPI |
| record_format | dspace |
| spelling | oai:generic.eprints.org:2785912023-11-02T02:12:22Z https://repository.ugm.ac.id/278591/ A Comprehensive Analysis of Chinese, Japanese, Korean, US-PIMA Indian, and Trinidadian Screening Scores for Diabetes Risk Assessment and Prediction Fitriyani, Norma Latif Syafrudin, Muhammad Ulyah, Siti Maghfirotul Alfian, Ganjar Qolbiyani, Syifa Latif Anshari, Muhammad Electrical and Electronic Engineering Risk assessment and developing predictive models for diabetes prevention is considered an important task. Therefore, we proposed to analyze and provide a comprehensive analysis of the performance of diabetes screening scores for risk assessment and prediction in five populations: the Chinese, Japanese, Korean, US-PIMA Indian, and Trinidadian populations, utilizing statistical and machine learning (ML) methods. Additionally, due to the present COVID-19 epidemic, it is necessary to investigate how diabetes and COVID-19 are related to one another. Thus, by using a sample of the Korean population, the interrelationship between diabetes and COVID-19 was further investigated. The results revealed that by using a statistical method, the optimal cut points among Chinese, Japanese, Korean, US-PIMA Indian, and Trinidadian populations were 6.205 mmol/L (FPG), 5.523 mmol/L (FPG), and 5.375% (HbA1c), 150.50–106.50 mg/dL (FBS), 123.50 mg/dL (2hPG), and 107.50 mg/dL (FBG), respectively, with AUC scores of 0.97, 0.80, 0.78, 0.85, 0.79, and 0.905. The results also confirmed that diabetes has a significant relationship with COVID-19 in the Korean population (p-value 0.001), with an adjusted OR of 1.21. Finally, the overall best ML models were performed by Naïve Bayes with AUC scores of 0.736, 0.75, and 0.83 in the Japanese, Korean, and Trinidadian populations, respectively. MDPI 2022-10-30 Article PeerReviewed application/pdf en https://repository.ugm.ac.id/278591/1/Alfian_SV.pdf Fitriyani, Norma Latif and Syafrudin, Muhammad and Ulyah, Siti Maghfirotul and Alfian, Ganjar and Qolbiyani, Syifa Latif and Anshari, Muhammad (2022) A Comprehensive Analysis of Chinese, Japanese, Korean, US-PIMA Indian, and Trinidadian Screening Scores for Diabetes Risk Assessment and Prediction. Mathematics, 10 (21). pp. 1-23. ISSN 2227-7390 https://www.mdpi.com/journal/mathematics https://doi.org/10.3390/math10214027 |
| spellingShingle | Electrical and Electronic Engineering Fitriyani, Norma Latif Syafrudin, Muhammad Ulyah, Siti Maghfirotul Alfian, Ganjar Qolbiyani, Syifa Latif Anshari, Muhammad A Comprehensive Analysis of Chinese, Japanese, Korean, US-PIMA Indian, and Trinidadian Screening Scores for Diabetes Risk Assessment and Prediction |
| title | A Comprehensive Analysis of Chinese, Japanese, Korean,
US-PIMA Indian, and Trinidadian Screening Scores for
Diabetes Risk Assessment and Prediction |
| title_full | A Comprehensive Analysis of Chinese, Japanese, Korean,
US-PIMA Indian, and Trinidadian Screening Scores for
Diabetes Risk Assessment and Prediction |
| title_fullStr | A Comprehensive Analysis of Chinese, Japanese, Korean,
US-PIMA Indian, and Trinidadian Screening Scores for
Diabetes Risk Assessment and Prediction |
| title_full_unstemmed | A Comprehensive Analysis of Chinese, Japanese, Korean,
US-PIMA Indian, and Trinidadian Screening Scores for
Diabetes Risk Assessment and Prediction |
| title_short | A Comprehensive Analysis of Chinese, Japanese, Korean,
US-PIMA Indian, and Trinidadian Screening Scores for
Diabetes Risk Assessment and Prediction |
| title_sort | comprehensive analysis of chinese japanese korean us pima indian and trinidadian screening scores for diabetes risk assessment and prediction |
| topic | Electrical and Electronic Engineering |
| url | https://repository.ugm.ac.id/278591/1/Alfian_SV.pdf |
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