Logistic regression model achieves 83.3% accuracy predicting malaria severity in children from Bosomtwe District, Ghana, using biological and environmental factors.
Determining suitable machine learning classifier technique for prediction of malaria incidents attributed to climate of Odisha
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A Logistic Regression Model to Predict Malaria Severity in Children
Logistic regression model achieves 83.3% accuracy predicting malaria severity in children from Bosomtwe District, Ghana, using biological and environmental factors.