Why is Transfer Learning Important in Epidemiology?
Epidemiological studies often deal with limited data and high-dimensional datasets, making it challenging to build accurate predictive models. Transfer learning helps by utilizing pre-trained models from related tasks, thus improving the model's performance and reducing the need for extensive data collection. This can be crucial for timely responses to emerging infectious diseases and other public health concerns.
