A new mathematical model for diagnosing chronic diseases (kidney failure) using ANN. Issue 1 (1st January 2018)

• Record Type: Journal Article
• Authors: Almarashi, Adel; Alghamdi, Metib; Mechai, Idir
• Editors: Rogovchenko, Yuriy
• Is Part Of: Cogent mathematics & statistics. Volume 5:Issue 1(2018)
• Publication Date: 2018-01-01
• Subjects: diagnosing chronic diseases -- artificial neural network -- least square error -- ridge function; Mathematics -- Periodicals; Statistics -- Periodicals; Mathematics; Statistics; Periodicals; 510
• DOI: 10.1080/23311835.2018.1559457
• Languages: English
• ISSNs: 2574-2558

Abstract

Abstract: 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.