STRENGTHENING MALARIA DIAGNOSIS AND TREATMENT USING CART

Abstract

Malaria is a life-threatening disease caused by parasites that are transmitted to people through the bites of infected mosquitoes. It remains a leading cause of morbidity and mortality in Myanmar. Myanmar is moving towards a more targeted approach to malaria control and is considering malaria elimination as a possible medium term objective, malaria surveillance becomes central to the program strategy. National Malaria Control Programme and its implementing partners have been participating in strengthening malaria surveillance system in Myanmar in accordance with technical aspects provided in the implementation plan. The most important malaria activity is the early diagnosis and prompt treatment of the disease. Malaria diagnosis and treatment system helps to identify the symptoms of each patient and treatment given. To strengthen Malaria diagnosis, Classification and Regression Tree (CART) algorithm is applied and monitoring treatment processes is carried out with Rule-based algorithm. In this system, annual dataset of malaria patients from Paletwa Township, Chin State of 2017 are used for diagnosis of malaria. Classification with CART algorithm makes the accurate diagnosis and better to follow up.