Developing A Machine Learning Model For Malaria Diagnosis In Rural Areas

Abstract Medical diagnosis of diseases like Malaria and tuberculosis still use microscopy as a standard, but this procedure is usually very tiring for pathologists and health workers as it imposes much stress on their vision. Due to the fatigue that health workers get from this process, they might end up misdiagnosing a case. In most Rural areas of Cameroon and Ghana, there are no qualified personnel to do these diagnoses. Moreover, according to the World Bank, malaria still kills millions of people every year in Sub-Saharan Africa. To solve this problem, we used a machine learning approach; t…