Predicting Childhood Obesity Based on Single and Multiple Well-Child Visit Data Using Machine Learning Classifiers

Childhood obesity is a public health concern in the United States. Consequences of childhood obesity include metabolic disease and heart, lung, kidney, and other health-related comorbidities. Therefore, the early determination of obesity risk is needed and predicting the trend of a child’s body mass...

Descripción completa

Detalles Bibliográficos
Autores principales: Mondal, Pritom Kumar, Foysal, Kamrul H., Norman, Bryan A., Gittner, Lisaann S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9865403/
https://www.ncbi.nlm.nih.gov/pubmed/36679555
http://dx.doi.org/10.3390/s23020759

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9865403/
https://www.ncbi.nlm.nih.gov/pubmed/36679555
http://dx.doi.org/10.3390/s23020759

Ejemplares similares