What are the Advantages of Using Neural Networks in Epidemiology?

The advantages of employing neural networks in epidemiology are manifold:

Accuracy and Precision: Neural networks can handle large datasets with high dimensionality, leading to more accurate and precise predictions.
Automation: These models can automate the process of data analysis, reducing the time and effort required by human analysts.
Adaptability: Neural networks can adapt to new data and continuously improve their predictions over time.
Complex Pattern Recognition: These networks excel at recognizing complex, non-linear relationships in data, which traditional statistical methods might miss.