What are the Benefits of Using Supervised Learning in Epidemiology?
Supervised learning offers several advantages:
- Accuracy: Models can achieve high accuracy in predictions, enabling more effective public health interventions. - Speed: Automated analysis of large datasets speeds up the decision-making process. - Scalability: Supervised learning algorithms can handle large volumes of data, making them suitable for national and global epidemiological studies. - Insights: These models can uncover hidden patterns and relationships in the data that may not be apparent through traditional methods.
