This system collects a user's private health data, including medical parameters and physical activity, and processes it into a single, masked numerical health score. It applies weighting factors, which can vary by age, to combine the data. This score can then be published to a designated group, such as an online forum, while keeping the detailed underlying data private. The system also allows for averaging these scores across a group of users.
Why it matters: Since 2020, the proliferation of consumer wearables has dramatically simplified the automated collection of diverse intrinsic and extrinsic health parameters. This makes the system's data acquisition and personalized scoring more practical, especially with increased user demand for private, shareable health insights.
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