A Study into the Detection of Malaria using Artificial Intelligence

Abstract

Malaria is among the most frequent mosquito-borne infections and a major public health issue across the globe. Currently, the conventional method for diagnosing malaria is a microscopic study of a stained blood film. Artificial Neural Networks (ANN) might be used to diagnose sickness in red blood cells, according to researchers. For this aim, characteristics / variables are generated from data collected from digital holographic pictures of blood cells and fed into an artificial neural network (ANN), which identifies the cell is infected or not. The current research concentrates on the use of artificial intelligence to identify malaria.