… In this research, we focused on diabetes type II prediction using a DLNN approach. In this
regard, … , a model for diabetes type II prediction has been proposed to improve the prediction …

… puts together tools from statistics, data mining, and optimization to generate models. … and
recommendations in the prediction of diabetes based on machine learning models. It also …

… model for identifying the diabetes in an early stage accurately to save the human life using
DNN … the researchers can use genetic algorithm or particle swarm optimization technique for …

… optimization methods … model will predict the presence of all classes of diabetes symptoms
when it is present,(b) specificity measures how likely model will detect the absence of diabetes …

… One cannot diagnose diabetes with one parameter, such as excessive consumption of …
Decision tree discovery for the diagnosis of type II diabetes. In Proceedings of the 2011 …

… , two more layers, namely; prediction layer and performance evaluation layer, are used. In the
prediction layer, the fuzzy logic, ANN and Deep extreme … article, the deep extreme machine …

… the multi-objective optimization problems and it improves the deep feature extraction, …
model of the proposed diabetes detection and glucose level prediction using proposed deep …

… Therefore, its prediction, prognosis, and management are … (ML) and deep learning (DL)
models for the objectives mentioned … for controlling blood glucose and diabetes. However, they …

… algorithms are optimizing diabetes prediction, diagnosis, … ing, a Kernel Extreme Learning
Machine model is improved to … focused on specific medical predictions using a Naive Bayes …

… diabetes conditions, among them, diabetes type-1 (T1D) that requires insulin treatment and
diabetes type-2 (… In either situation, an excessive or insufficient insulin intake causes a bad …