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Deep learning models for forecasting dengue fever based on climate data in Vietnam

Fig 7

Performance of multi-step ahead predictions of LSTM-ATT for all provinces.

Error metrics are displayed for all 20 provinces (Fig 7A for RMSE and middle for MAE) in addition to the predicted and observed incidence rates per 100,000 population in three provinces (Fig 7B). LSTM-ATT = attention mechanism-enhanced LSTM. RMSE = root mean square error. MAE = mean absolute error.

Fig 7

doi: https://doi.org/10.1371/journal.pntd.0010509.g007