Malaria detection using mathematical theory of evidence

Abstract

Malaria is still one of the most common infectious diseases in the world and one of the greatest global public health problems in many parts of the world. The existing methods used to detect malaria are complicated, an extremely timeconsuming process, and 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. This research is an assessment on the effectiveness of Dempster-Shafer’s mathematical theory of evidence. Six different conditions of malaria detection are proposed. The result reveals that malaria detection using Dempster-Shafer theory obtained degrees of belief of 88% for condition 1, 82% for condition 2, 80% for condition 3, 92% for condition 4, 97% for condition 5, and 98.6% for condition 6.

Keywords

• malaria
• disease detection
• theory of evidence