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SYSTEM AND METHODS UTILIZING ARTIFICIAL INTELLIGENCE ALGORITHMS TO ANALYZE WEARABLE ACTIVITY TRACKER DATA
SYSTEM AND METHODS UTILIZING ARTIFICIAL INTELLIGENCE ALGORITHMS TO ANALYZE WEARABLE ACTIVITY TRACKER DATA
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机译:利用人工智能算法利用人工智能算法来分析可穿戴活动跟踪器数据的系统和方法
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摘要
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.
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