An AI-based approach in determining the effect of meteorological factors on incidence of malaria

An AI-based approach in determining the effect of meteorological factors on incidence of malaria

This study presents the classification of malaria-prone zones based on (a) meteorological factors, (b) demographics and (c) patient information. Observations are performed on extended features in dataset over the spiking and non-spiking classifiers including Quadratic Integrate and Fire neuron (QIFN...

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Bibliographic Details
Main Authors: Ajeet Kumar Verma, Venkatanareshbabu Kuppili, Saurabh K. Srivastava, Jasjit S. Suri
Format: Article
Language:English
Published: IMR Press 2020-03-01
Series:Frontiers in Bioscience-Landmark
Subjects:
malaria
quadratic integrate-and-fire neuron
spiking neural network
machine learning algorithm
artificial neural networks
Online Access:https://www.imrpress.com/journal/FBL/25/7/10.2741/4853

Internet

https://www.imrpress.com/journal/FBL/25/7/10.2741/4853

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