Leveraging hybrid machine learning and data fusion for accurate mapping of malaria cases using meteorological variables in western India

Leveraging hybrid machine learning and data fusion for accurate mapping of malaria cases using meteorological variables in western India

We propose a hybrid machine learning algorithm (i.e., P2CA−PSO−ANN) to model malaria outbreak in three districts (Barmer, Bikaner, and Jodhpur) of Rajasthan in the Western India. We have used different meteorological variables (i.e., relative humidity, temperature, and rainfall) as input features to...

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Bibliographic Details
Main Authors: Abhilash Singh, Manish Mehra, Amit Kumar, M Niranjannaik, Dev Priya, Kumar Gaurav
Format: Article
Language:English
Published: Elsevier 2023-02-01
Series:Intelligent Systems with Applications
Subjects:
Machine learning
Data fusion
Disease prediction
Meteorological variables
Intelligent system
Online Access:http://www.sciencedirect.com/science/article/pii/S2667305322001016

Internet

http://www.sciencedirect.com/science/article/pii/S2667305322001016

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