African Trypanosomiasis Detection using Dempster-Shafer Theory
This addresses a critical health problem for underserved communities in Africa, but it is incremental as it applies an existing method to a new medical domain.
The paper tackles the detection of African Trypanosomiasis, a fatal disease affecting poor rural populations in Africa, by implementing Dempster-Shafer Theory to combine symptoms like fever and headache under uncertainty, resulting in a system that quantifies belief and plausibility for identification.
World Health Organization reports that African Trypanosomiasis affects mostly poor populations living in remote rural areas of Africa that can be fatal if properly not treated. This paper presents Dempster-Shafer Theory for the detection of African trypanosomiasis. Sustainable elimination of African trypanosomiasis as a public-health problem is feasible and requires continuous efforts and innovative approaches. In this research, we implement Dempster-Shafer theory for detecting African trypanosomiasis and displaying the result of detection process. We describe eleven symptoms as major symptoms which include fever, red urine, skin rash, paralysis, headache, bleeding around the bite, joint the paint, swollen lymph nodes, sleep disturbances, meningitis and arthritis. Dempster-Shafer theory to quantify the degree of belief, our approach uses Dempster-Shafer theory to combine beliefs under conditions of uncertainty and ignorance, and allows quantitative measurement of the belief and plausibility in our identification result.