Predictive models in nursing typically utilize a range of data sources, including electronic health records (EHRs), patient history, sensor data from wearable devices, and more. Machine learning algorithms analyze this data to identify patterns and predict future health events. For example, a model could predict the likelihood of a patient developing sepsis based on their vital signs and laboratory results.
