Machine learning techniques are increasingly being utilized in epidemiology for predictive modeling and pattern recognition. Methods such as random forests, support vector machines (SVM), and neural networks can handle high-dimensional data and uncover hidden patterns. These techniques are particularly valuable for analyzing large datasets like those from electronic health records (EHRs).
