Logistic regression model achieves 83.3% accuracy predicting malaria severity in children from Bosomtwe District, Ghana, using biological and environmental factors.
Modeling CO 2 emissions in South Africa: empirical evidence from ARDL based bounds and wavelet coherence techniques
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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.