A new mathematical model for diagnosing chronic diseases (kidney failure) using ANN

Adel Almarashi, Metib Alghamdi, Idir Mechai, Yuriy Rogovchenko
2019 Cogent Mathematics & Statistics  
In this paper, we introduce a new diagnosing technique for chronic kidney disease by using Artificial Neural Network (ANN). Where, the required data for the computational health-care system is collected from various hospitals at Jazan region, Saudi Arabia. Furthermore, in order to prove the convergence of this method, a ridge function is used in the hidden layer as a basis for the neurons. The technique applied for different number of neurons, and in each case a least square error is provided for choosing the best possible approximation.
doi:10.1080/23311835.2018.1559457 fatcat:ym46jcewynh2ln3lypxyphhlai