Deep learning models for forecasting dengue fever based on climate data in Vietnam
Fig 6
Outbreak detection by LSTM-ATT.
Numbers of actual outbreak months, correct outbreak month predictions (true positive) and incorrect outbreak month predictions (false positive) for each province are shown (Fig 6A). Additionally, prediction metrics (precision, accuracy, sensitivity, and specificity) for each province are displayed (Fig 6B). If a province did not have any actual epidemic months in the evaluation period, the precision and sensitivity are not available. LSTM-ATT = attention mechanism-enhanced LSTM.