Machine Learning Prediction Model for Malaria Outbreaks

Malaria is a mosquito-borne infectious disease and remains a global health issue. The World Health Organization has established the Global Technical Strategy to eliminate malaria; one of its goals is to develop innovative tools for malaria surveillance. Therefore, this research proposes new techniques to predict individuals’ risk of susceptibility to malaria based on human genetic variation data. These techniques include building malaria prediction models via machine learning, and further analysing the susceptibility of different populations to malaria risk. This research contributes to bridging the gap between healthcare practitioners and computer scientists through novel techniques for malaria outbreak prediction.