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| Development and Comparison of Three Data Models for Predicting Diabetes Mellitus Using Risk Factors in a Nigerian Population |
| Oluwakemi Odukoya, Solomon Nwaneri, Ifedayo Odeniyi, Babatunde Akodu, Esther Oluwole, Gbenga Olorunfemi, Oluwatoyin Popoola, Akinniyi Osuntoki |
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Healthc Inform Res. 2022;28(1):58-67. Published online January 31, 2022 DOI: https://doi.org/10.4258/hir.2022.28.1.58 |
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Development and Comparison of Three Data Models for Predicting Diabetes Mellitus Using Risk Factors in a Nigerian Population Healthcare Informatics Research. 2022;28(1):58-67  Comparison of three data mining models for predicting diabetes or prediabetes by risk factors The Kaohsiung Journal of Medical Sciences. 2013;29(2):93-99 Hyperparameters Optimization using Gridsearch Cross Validation Method for machine learning models in Predicting Diabetes Mellitus Risk 2022 International Conference on Communication, Computing and Internet of Things (IC3IoT). 2022; Diabetes, obesity and cancer: risk and anti-risk factors Diabetes mellitus. 2012;15(4):81-88 The Dose-Response Relationship between The triglyceride-glucose index and Risk of Diabetes Mellitus Using Publicly Available Data: A Longitudinal Study in Chinese Obesity adult population . 2021; Dyslipidaemia in Nigerian Children and Adolescents with Diabetes Mellitus: Prevalence and Associated Risk Factors Dubai Diabetes and Endocrinology Journal. 2019;25(1-2):45-51 Physical activity and type 2 diabetes mellitus risk: population studies review Diabetes mellitus. 2016;19(6):486-493 Predicting the Risk of Gestational Diabetes Mellitus through Nearest Neighbor Classification Data Analysis and Related Applications 1. 2022;67-80 Comparative performance of diabetes-specific and general population-based cardiovascular risk assessment models in people with diabetes mellitus Diabetes & Metabolism. 2013;39(5):389-396 Predicting Future Diabetes Using Machine Learning Models in a High-Risk Pediatric Cohort . 2022; |
