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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Bibliographic Details
Main Authors:	Opeyemi Aderiike Abisoye, Rasheed Gbenga Jimoh, Muhammed Uthman Mubashir Babatunde Uthman
Format:	article
Language:	EN
Published:	UUM Press 2021
Subjects:	artificial neural network data mining ensemble malaria infection support vector machine Information technology T58.5-58.64
Online Access:	https://doaj.org/article/da48e5e01e164becb0f9809e258ca85f
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Ensemble Feed-Forward Neural Network and Support Vector Machine for Prediction of Multiclass Malaria Infection

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