Development and Comparison of Three Data Models for Predicting Diabetes Mellitus Using Risk Factors in a Nigerian Population

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, lifestyle, and physical attributes of a population of Niger...

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Detalles Bibliográficos
Autores principales: Odukoya, Oluwakemi, Nwaneri, Solomon, Odeniyi, Ifedayo, Akodu, Babatunde, Oluwole, Esther, Olorunfemi, Gbenga, Popoola, Oluwatoyin, Osuntoki, Akinniyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Medical Informatics 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8850175/
https://www.ncbi.nlm.nih.gov/pubmed/35172091
http://dx.doi.org/10.4258/hir.2022.28.1.58

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8850175/
https://www.ncbi.nlm.nih.gov/pubmed/35172091
http://dx.doi.org/10.4258/hir.2022.28.1.58

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