Machine learning algorithms can analyze large datasets to identify patterns and predict disease outbreaks. These algorithms can process data from various sources, including electronic health records, social media, and environmental sensors, to provide valuable insights into disease dynamics. This predictive capability enhances the ability of public health authorities to allocate resources efficiently and implement preventive measures.
