Courtney van Ballegooie, Devon Heroux, Peter Hoang, Sarthak Garg
Assessing the Functional Accessibility, Actionability, and Quality of Patient Education Materials from Canadian Cancer Agencies
Current oncology (Toronto, Ont.)
malaria common cause death among parasitic diseases malaria continues pose growing threat public health economic growth nations tropical subtropical parts world study aims address challenge developing predictive model malaria outbreaks district gambia leveraging historical meteorological data achieve objective employ compare performance eight machine learning algorithms including c50 decision trees artificial neural networks knearest neighbors support vector machines linear radial kernels logistic regression extreme gradient boosting random forests models evaluated using 10fold crossvalidation training phase repeated five times ensure robust validation findings reveal extreme gradient boosting decision trees exhibit highest prediction accuracy testing set achieving 933 accuracy followed closely random forests 915 accuracy contrast support vector machine linear kernel performs less favorably showing prediction accuracy 848 underperforming specificity analysis notably integration climatic nonclimatic features proves crucial factor accurately predicting malaria outbreaks gambia