A computer program helps people achieve health goals by regularly gathering their health information. It then uses this information to build a personalized mathematical model that finds connections between different health measurements. The program uses this model to generate and send tailored advice or insights back to the user's device. The model specifically identifies health factors that either change significantly across a group of people or remain very stable for an individual over time.
Why it matters: Filed before the widespread accessibility of advanced machine learning frameworks and cloud-based data processing. Today's mature ML ecosystems make building and deploying such data-driven personalized models significantly more efficient.
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