Ensemble Feed-Forward Neural Network and Support Vector Machine for Prediction of Multiclass Malaria Infection

Ensemble Feed-Forward Neural Network and Support Vector Machine for Prediction of Multiclass Malaria Infection

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 are plagued with low rate of convergence, overfitting, limited generalization due to restriction to binary cases predict...

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Auteurs principaux: Opeyemi Aderiike Abisoye, Rasheed Gbenga Jimoh, Muhammed Uthman Mubashir Babatunde Uthman
Format: article
Langue:EN
Publié: UUM Press 2021
Sujets:
artificial neural network
data mining
ensemble
malaria infection
support vector machine
Information technology
T58.5-58.64
Accès en ligne:https://doaj.org/article/da48e5e01e164becb0f9809e258ca85f
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