COVID-19 vaccine prediction based on an interpretable CNN-LSTM model with three-stage feature engineering

ConclusionThe interpretability of the CNN-LSTM model is a key aspect considered in this research to explain the prediction results. The model ’s interpretability aims to identify important features affecting the prediction results and provide government and vaccine companies with guidelines in the decision-making for vaccine supply planning in developing countries.Graphical Abstract

Source: Health and Technology - January 9, 2024 Category: Information Technology Source Type: research