Sep 10, 2021 · A model that uses machine learning to predict the outbreak of infectious diseases using two drought indices and historical incidents of malaria in Limpopo ( ...
The main objective of this research was demarcated as: to develop a machine learning algorithm for predicting outbreaks of malaria using drought indices and ...
Duration: 53:56
Posted: Aug 24, 2022
Posted: Aug 24, 2022
Various techniques, spanning from machine learning to statistical approaches, have been employed to forecast the occurrence of malaria outbreaks [2][3][4] ...
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What are the predictive models for malaria?
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Prediction Model for Malaria: An Ensemble of Machine Learning and Hydrological Drought Indices. https://doi.org/10.1007/978-981-16-1781-2_51.
This research proposes a machine learning-based model for the classification of malaria incidence using climate variability across six countries of Sub-Saharan ...
Duration: 26:01
Posted: Jun 10, 2022
Posted: Jun 10, 2022
We present a model that uses machine learning to predict the outbreak of infectious diseases using two drought indices and historical incidents of malaria in ...
Duration: 26:01
Posted: Aug 18, 2023
Posted: Aug 18, 2023
Dec 26, 2019 · This study compares the performance of traditional time series models and deep learning algorithms in malaria case prediction
Missing: Drought | Show results with:Drought