The Prevalence of Autoimmune Diseases Among Children With Type I Diabetes Mellitus.

Background Type I diabetes mellitus (T1DM) is a prevalent chronic illness that typically manifests in childhood. In patients who are genetically predisposed to diabetes, complex interactions between environmental and genetic factors play a role in the development of type 1 diabetes. There is proof that the onset of type 1 diabetes raises the possibility of developing additional autoimmune conditions.

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 Multiple Linear Regression (MLR), Artificial Neural Network (ANN) and Random Forest (RF) to model and predict the age at onset of T1D in children in Saudi Arabia (S.