WEB-BASED MEDICAL ASSISTANT SYSTEM FOR MALARIA DIAGNOSIS AND THERAPY
Oguntimilehin Adetunmbi A. O · 2012
Malaria is a deadly disease killing millions of people every year. Different countries of the world, governmental and non-governmental organizations including World Health Organization have taken it as a challenge to address the issue of deaths associated with malaria. Prompt and accurate diagnosis is a major key in medical field. This prompts for the need to develop a diagnosis and therapy system that could be accessed anywhere, anytime taking the advantage of the fast growing internet technology. A machine learning technique rough set was used on labelled sets of malaria fever symptoms collected to generate explainable rules for each level of severity and appropriate therapy is provided. The labelled database was divided into five cases of malaria and the classification accuracy on training dataset is 100% while that of testing data set is 94%. The web based system for malaria diagnosis and therapy was developed using HTML and PHP as front end and MYSQL as backend.