• 专利标题: SYSTEMS AND METHODS FOR DETERMINING AND USING HEALTH CONDITIONS BASED ON MACHINE LEARNING ALGORITHMS AND A SMART VITAL DEVICE
  • 申请号: US16886464
    申请日: 2020-05-28
  • 公开(公告)号: US20210375456A1
    公开(公告)日: 2021-12-02
  • 发明人: Dwayne Kurfirst
  • 申请人: Aetna Inc.
  • 申请人地址: US CT Hartford
  • 专利权人: Aetna Inc.
  • 当前专利权人: Aetna Inc.
  • 当前专利权人地址: US CT Hartford
  • 主分类号: G16H50/20
  • IPC分类号: G16H50/20 G06N20/00 G06N5/04 G16H50/30
SYSTEMS AND METHODS FOR DETERMINING AND USING HEALTH CONDITIONS BASED ON MACHINE LEARNING ALGORITHMS AND A SMART VITAL DEVICE
摘要:
In some instances, the disclosure provides a method performed by a smart vital device. The method comprises receiving sensor information indicating one or more health characteristics associated with an individual, wherein the sensor information comprises audio information indicating audio signals from a surrounding environment and temperature information indicating temperature readings from the surrounding environment, determining one or more health audio characteristics of the individual based on inputting the audio signals into one or more health condition machine learning datasets, determining one or more health temperature characteristics of the individual based on the temperature readings from the surrounding environment, determining one or more health conditions of the individual based on the one or more health audio characteristics and the one or more health temperature characteristics, and outputting the one or more health conditions of the individual.
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