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AssigneeAetna Inc.
InventorsNaiqian Zhi, Benjamin Wanamaker, Rajiv Bhan, Sumeet Kumar
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A system and method are disclosed for monitoring health conditions based on data collected by a wearable device such as an activity tracker or a smart watch. Deep learning algorithms are configured to process an input vector that includes monitored parameter data collected by the wearable device as well as embedding data obtained from health records corresponding to a user account registered to the wearable device. In some embodiments, the input vector can also include social determinants data and/or demographic data. The output of the deep learning algorithms provides classifiers that represent probabilities that the user of the wearable device has an underlying health condition. If any underlying health condition is detected, then the user can be notified directly, via the wearable device or an associated application or technology, or indirectly, via a primary care provider associated with the user.
A system for performing health monitoring, the system comprising:
A method for performing health monitoring, the method comprising:
A non-transitory computer-readable medium having processor-executable instructions stored thereon for performing health monitoring, wherein the processor-executable instructions, when executed, facilitate:
Dependencies are inferred from the claim text.