Malaria is the most common cause of death among the parasitic diseases. Malaria continues to pose a growing threat to the public health and economic growth of nations in the tropical …
To identify which data mining technique (parametric or non-parametric) best fits the predictions on imbalanced malaria incidence dataset. The researchers compared …
G Comert, N Begashaw, A Turhan-Comert - BioRxiv, 2020 - biorxiv.org
In this paper, we utilized and compared selected machine learning techniques to detect malaria out-break using observed variables of maximum temperature, minimum …
A Aliyu, R Prasad, M Fonkam - International Journal of …, 2018 - inderscienceonline.com
Malaria, a life-threatening parasite contained in the spittle of mosquitoes, and is transmitted via a bite. This study designs a framework for predicting malaria using a probabilistic …
B Modu, N Polovina, Y Lan… - Fuzzy Systems and Data …, 2018 - ebooks.iospress.nl
Malaria is the leading cause of death in many countries. Numerous studies have been carried out to introduce prevention mechanisms; but most methods employed are limited to …
Malaria disease is the number one cause of death all over the Sub-Sahara world. Data mining can help extract valuable knowledge from available data in the healthcare sector …
Data mining is used in extracting rules to predict certain information in many areas of Information Technology, medical science, biology, education, and human resources. Data …