Diagnosing malaria from some symptoms: a machine learning approach and public health implications

Diagnosing malaria from some symptoms: a machine learning approach and public health implications

Malaria is a leading cause of death in Nigeria and remains a public health concern because of the increasing resistance of the disease to antimalarial drugs. Pregnant women and children under five years of age are the most vulnerable. Efforts to eradicate malaria is often frustrated due to some various sociodemographic factors and medical factors. One of the vital therapeutic factors is...
 
Published at Health and Technology
Published in 2020
 
 
visit (https://link.springer.com/article/10.1007/s12553-020-00488-5#citeas)
 
 
H.I. Okagbue; P.E. Oguntunde; E.C.M. Obasi; P.I. Adamu; A.A. Opanuga
Okagbue Hilary Izuchukwu » Hilary Izuchukwu Okagbue Obtained his B.Tech, M.Sc and Ph.D. degrees in Industrial Mathematics and Statistics from the Federal University of Technology, Owerri, University of Lagos, Covenant University in 2007, 2010 and 2019 respectively. His research interests include Data Analysis, Mathematical Statistics, Mathematical Cryptography and analysis of patterns in number theory. view full profile
Okagbue Hilary Izuchukwu
 
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