Ebola virus disease detection using Dempster-Shafer evidence theory

This research presents bola virus disease detection using Dempster-Shafer evidence theory. The Dempster-shafer evidential theory is a method about uncertainty reasoning, and this theory reduces the requirements of the knowledge of prior probability and conditional probability. Between 1976 and 2013, the World Health Organization report a total of 24 outbreaks involving 1,716 cases. The existing methods used detect bola virus disease are complex, time consuming, can only be performed under laboratory conditions, often require highly trained lab workers and time-intensive procedures, as well as a highly sterile experimental environment. The main contribution of this research is to consider Dempster-Shafer evidence theory for bola virus disease detection by combined each symptom. The result reveals that bola virus disease detection using Dempster-Shafer evidence theory obtained degree of belief 0.85.