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.
