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

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...

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Bibliographic Details
Main Authors: Ahood Alazwari, Mali Abdollahian, Laleh Tafakori, Alice Johnstone, Rahma A. Alshumrani, Manal T. Alhelal, Abdulhameed Y. Alsaheel, Eman S. Almoosa, Aseel R. Alkhaldi
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8884498/?tool=EBI

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8884498/?tool=EBI

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