Predictive modeling involves using statistical techniques and machine learning algorithms to forecast future events based on current and historical data. IoT devices provide a rich source of real-time data that can improve the accuracy of these models. For example, data from wearable devices can be used to predict flu outbreaks by monitoring changes in body temperatures across a population. This predictive capability allows public health authorities to implement preventive measures and allocate resources more effectively.
