Machine learning algorithms can process and analyze complex datasets much faster and more accurately than traditional statistical methods. In epidemiology, ML is used to identify patterns and relationships in large datasets, making it possible to predict disease trends, assess risk factors, and optimize resource allocation. For example, ML models can analyze social media posts, search engine queries, and electronic health records to detect early signs of disease outbreaks.
