Tropical Diseases Identification Using Neural Network Adaptive Resonance Theory

Abstract

In a study Anggraini (2011) World Health Organization (2009) wrote malaria is an infectious disease that has been reported to be a serious global health problem, causing between 1.5 and 2.7 million of deaths every year in more than 90 countries [2][9]. In a study Anggraini (2011) Murray wrote it is caused by intracellular single-celled parasite that belongs to genus Plasmodium [2][7]. The diagnosis of tropical disease carried out by a physician to determine medical treatment for patients must be done carefully and accurately. Wrong diagnosis to determine the medical treatment can cause fatal effect and endanger patients. And for some particular disease, the diagnosis cannot be performed by general medical personnel but can only be done by a specialist who has special expertise in the field. A common problem we faced nowadays is the minimal medical specialists in remote areas. Where in this area, the medical personnel available are common medical personnel such as paramedics, midwives or general practitioners who have limited knowledge and experience to deal with specific diseases. This condition can lead to less optimal medical treatment for patients.