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AI Biotech/Diagnostics: Cardio

Search All Applications in AI Biotech/Diagnostics: Cardio


Application US20200152330


Published 2020-05-14

Scalable Personalized Treatment Recommendation

Embodiments are disclosed for health assessment and diagnosis implemented in an artificial intelligence (AI) system. In an embodiment, a method comprises: generating, using one or more processors, profiles for a plurality of users, each profile including information collected from monitoring users over time; categorizing, using the one or more processors, a set of users into one or more predetermined categories based on the generated profiles; and recommending, using the one or more processors, a set of actions for each category of users.



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6 Independent Claims

  • 1. A method comprising: generating, using one or more processors, a personalized respiratory health profile for each user of a plurality of users, each profile including information collected from monitoring the user's respiratory symptoms over time; clustering, using the one or more processors, the generated profiles into one or more categories using clustering techniques; associating, using the one or more processors, each category with a set of actions; clustering, using the one or more processors, a particular user into one or more of the categories based on the particular user's profile; and recommending, using the one or more processors, one or more actions for the particular user from one or more sets of actions for the one or more categories.

  • 3. (canceled)

  • 5. (canceled)

  • 6. (canceled)

  • 11. A system comprising: one or more processors; memory storing instructions that when executed by the one or more processors, cause the one or more processors to perform operations comprising: generating a personalized respiratory health profile for each user of a plurality of users, each profile including information collected from monitoring the user's respiratory symptoms over time; clustering the generated profiles into one or more categories using clustering techniques; associating each category with a set of actions; clustering a particular user into one or more categories based on the particular user's profile; and recommending one or more actions for the particular user from one or more sets of actions for the one or more categories.

  • 13. (canceled)