Self-Diagnosis of Diabetes by using CBR Algorithm

ISBN-13: 9786138501107 / Angielski / Miękka / 2018 / 56 str.

Nadir Salih; Halima Elbashier; Eshtiag A. Abd Elrhman

Opis

Book taking hot research and recently work.In the medical domain, diagnostic, classification and treatment are the main tasks for a physician. The multi-faced and complex nature of the medical domain such as the psych- physiological domain often requires the development of a system applying several techniques for instance like CBR[1]. In this book we have proposed method can diagnose new patients according to the similar solution of stored cases. CBR adapts previous solutions for similar problem in solving new problem in hand. For similarity we have used deferment functions that give optimal adaptation. The continuously rising cost of medical spending, population size is growing up and increasing their need for healthcare, which requires time saving for laboratory technicians at the examination is a great incentive to create a new approach that helps to provide health care to patients at lower costs with good management. We started to apply the concept of the autonomic system that let the system work without intervention of the user.

O autorze

Salih, Nadir
Dr.Nadir completed his degree in Computer Engineering at Karary University, Khartoum, Sudan(1996 - 2001). He received his Master in Computer network from University of Algeziera, Khartoum,Sudan (2005-2007). His PhD in Computer applied technology at Harbin institute technology china 2010-2014. Published more than 20 papers.