CrossRef Text and Data Mining
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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
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   Crossref logo
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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   Crossref logo
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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;   Crossref logo
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Diabetes, obesity and cancer: risk and anti-risk factors
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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
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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   Crossref logo
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Physical activity and type 2 diabetes mellitus risk: population studies review
Diabetes mellitus. 2016;19(6):486-493   Crossref logo
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Comparative performance of diabetes-specific and general population-based cardiovascular risk assessment models in people with diabetes mellitus
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Predicting Future Diabetes Using Machine Learning Models in a High-Risk Pediatric Cohort
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Development and validation of the type 2 diabetes mellitus 10-year risk score prediction models from survey data
Primary Care Diabetes. 2021;15(4):699-705   Crossref logo
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