Systems and methods for predicting health outcomes

This invention describes a system that predicts how healthy someone is in the short term by analyzing data from their wearable device, like a fitness tracker, combined with information from their health records. It uses artificial intelligence, specifically a random forest model, to sort users into categories. If someone is classified as healthy, they get a baseline health score, but if not, a different AI model calculates a more detailed score. Specifically, the claims focus on using data from an activity tracker, including heart rate, oxygen, activity levels, calories burned, and even manually entered information.