MACHINE LEARNING-SUPPORTED AND MEMORY SYSTEM-AUGMENTED SEIZURE RISK INFERENCING

    公开(公告)号:US20230044007A1

    公开(公告)日:2023-02-09

    申请号:US17392385

    申请日:2021-08-03

    Abstract: Methods, apparatuses, and non-transitory machine-readable media associated with seizure risk determination are described. A seizure risk determination can include receiving signaling from a radio in communication with a processing resource configured to monitor patient health data of a patient, signaling from a radio in communication with a processing resource configured to monitor health provider data associated with seizures, and signaling from a radio in communication with a processing resource configured to monitor environmental data associated with the patient. The seizure risk determination can include determining a seizure baseline for the patient and a seizure risk for the patient based on the signaling. The seizure risk determination can include identifying output data representative of a seizure plan for the patient and transmitting the output data representative of the seizure plan.

    Sharing data with a particular audience

    公开(公告)号:US11630924B2

    公开(公告)日:2023-04-18

    申请号:US17006662

    申请日:2020-08-28

    Abstract: Methods, apparatuses, and non-transitory machine-readable media associated with sharing data with a particular audience are described. Examples can include receiving first data at a processing resource, determining whether the first data comprises a combination of bits associated with text or an image, or both, and comparing the combination of bits to second data stored on a memory resource. Examples can include identifying one or more words or one or more images represented by the first data, or both, based on the comparison and assigning to the first data first metadata representative of a first security categorization and a first confidence level and second metadata representative of a second security categorization and a second confidence level Examples can include transmitting an output that comprises the first data or third data that comprises a modified combination of bits relative to the combination of bits of the first data.

    SHARING DATA WITH A PARTICULAR AUDIENCE

    公开(公告)号:US20220067216A1

    公开(公告)日:2022-03-03

    申请号:US17006662

    申请日:2020-08-28

    Abstract: Methods, apparatuses, and non-transitory machine-readable media associated with sharing data with a particular audience are described. Examples can include receiving first data at a processing resource, determining whether the first data comprises a combination of bits associated with text or an image, or both, and comparing the combination of bits to second data stored on a memory resource. Examples can include identifying one or more words or one or more images represented by the first data, or both, based on the comparison and assigning to the first data first metadata representative of a first security categorization and a first confidence level and second metadata representative of a second security categorization and a second confidence level Examples can include transmitting an output that comprises the first data or third data that comprises a modified combination of bits relative to the combination of bits of the first data.

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