Predicting age at onset of type 1 diabetes in children using regression, artificial neural network and Random Forest: A case study in Saudi Arabia

The rising incidence of type 1 diabetes (T1D) among children is an increasing concern globally. A reliable estimate of the age at onset of T1D in children would facilitate intervention plans for medical practitioners to reduce the problems with delayed diagnosis of T1D. This paper has utilised Multi...

Descripción completa

Detalles Bibliográficos
Autores principales: Alazwari, Ahood, Abdollahian, Mali, Tafakori, Laleh, Johnstone, Alice, Alshumrani, Rahma A., Alhelal, Manal T., Alsaheel, Abdulhameed Y., Almoosa, Eman S., Alkhaldi, Aseel R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8884498/
https://www.ncbi.nlm.nih.gov/pubmed/35226685
http://dx.doi.org/10.1371/journal.pone.0264118

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8884498/
https://www.ncbi.nlm.nih.gov/pubmed/35226685
http://dx.doi.org/10.1371/journal.pone.0264118

Ejemplares similares