What are machine learning methods and their applications in epidemiology?
Machine learning methods, including decision trees, random forests, and neural networks, are increasingly being applied in epidemiology for predictive modeling and pattern recognition. These methods can handle large and complex datasets, identify non-linear relationships, and improve the accuracy of disease prediction models. Machine learning is particularly useful in personalized medicine and real-time disease surveillance.
