- Development and Comparison of Three Data Models for Predicting Diabetes Mellitus Using Risk Factors in a Nigerian Population
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Odukoya O, Nwaneri S, Odeniyi I, Akodu B, Oluwole E, Olorunfemi G, Popoola O, Osuntoki A
- KMID: 2526494
- Healthc Inform Res.
- 2022 Jan;28(1):58-67.
- doi: 10.4258/hir.2022.28.1.58
Objectives: This study developed and compared the performance of three widely used predictive models—logistic regression (LR), artificial neural network (ANN), and decision tree (DT)—to predict diabetes mellitus using the socio-demographic,... -
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- Assessment of fishes, sediment and water from some inland rivers across the six geopolitical zones in Nigeria for microplastics
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Doherty VF, Aneyo IA, Fatunsin OT, Enyoh CE, Yahaya TO, Emeronye IG, Amolegbe OA, Amaeze NH, Anyiam FE, Oloidi AA, Ajagbe F, Popoola O, Ugochukwu M
- KMID: 2557990
- Environ Anal Health Toxicol.
- 2024 Jun;39(2):e2024018.
- doi: 10.5620/eaht.2024018
In Nigeria, limited research has been conducted on Microplastics (MPs) in inland rivers, necessitating a comprehensive assessment to understand the extent of contamination. This study aimed to assess the abundance,... -
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