Publications by authors named "Chikodili Ugwuishiwu"
Machine and deep learning techniques are prevalent in the medical discipline due to their high level of accuracy in disease diagnosis. One such disease is malaria caused by Plasmodium falciparum and transmitted by the female anopheles mosquito. According to the World Health Organisation (WHO), millions of people are infected annually, leading to inevitable deaths in the infected population.
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- - Malaria causes over two million deaths each year, primarily due to the challenges in developing effective drugs against Plasmodium falciparum, including drug resistance and the lack of suitable animal models.
- - The review highlights the potential of new antimalarial drug discovery approaches, particularly through the use of large datasets and machine learning tools to predict and categorize compounds targeting P. falciparum.
- - While techniques like Random Forest and Support Vector Machines have shown promise, there is still a need to explore and apply various machine learning tools on larger datasets to improve drug development.