Journal of Computer Science & Systems Biology

Self-Diagnosis of Diabetes Using CBR Algorithm

Abstract

Salih NK*, Elbashier H*, Zang T* and Eshtiag A Abd Elrhman

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. It has given by implemented and designed Case-Based Reasoning (CBR) algorithm in suitable way to self diagnose diabetes for patients depending on some tests results. The result is implementing new self diagnosis of diabetes system without user intervention which suggests that such a system is valuable both for less experienced clinicians and for experts where the system may function as a second option.