INS and type 1 diabetes mellitus: Li et al. [23] presented DL model that employs prior patient data, such as glucose levels, meal information, and insulin dosages, to predict the probability of developing type 1 diabetes in the future; also, the Relief feature selection algorithm was used to select the best features.