To aid efforts for the total elimination of malaria, effective and fast diagnosis of cases must be
done. The gold standard for malaria diagnosis is microscopy. This process becomes …

The role of a healthcare practitioner is to diagnose a disease and find an optimum means for
suitable treatment. This has been the most challenging task over the years. The researchers …

Globally, recent research are focused on developing appropriate and robust algorithms to
provide a robust healthcare system that is versatile and accurate. Existing malaria models …

Recent advances in deep convolutional neural networks enable researchers and
developers to apply machine learning to a much broader number of applications. With the …

Studies that focus on integrated modelling of household factors and the risk for malaria
parasitaemia among children in sub-Saharan Africa (SSA) are scarce. By using Malaria …

Malaria is an infectious disease caused by parasitic protozoans of the Plasmodium family.
These parasites are transmitted by mosquitos which are common in certain parts of the …

In this paper, we present a probabilistic‐based method to predict malaria disease at an early
stage. Malaria is a very dangerous disease that creates a lot of health problems. Therefore …

This article presents an alternative approach useful for medical practitioners who wish to
detect malaria and accurately identify the level of severity. Malaria classifiers are usually …

This paper presents an integrated methodology for biomass supply chain planning, using a
stochastic optimisation model and machine-learning algorithms. A methodology that …

Malaria is one of the leading causes of death in Ethiopia. Though there are many efforts to
control malaria, the complexity of the problem is still very severe. So there is a need to …