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    SYSTEM AND METHOD FOR USE OF PATTERN DETECTION IN ASSESSING SELF-REPORTED SYMPTOM DATA
    3.
    发明申请
    SYSTEM AND METHOD FOR USE OF PATTERN DETECTION IN ASSESSING SELF-REPORTED SYMPTOM DATA 有权

    公开(公告)号：US20220310268A1

    公开(公告)日：2022-09-29

    申请号：US17214659

    申请日：2021-03-26

    Applicant: ORACLE INTERNATIONAL CORPORATION

    Inventor： Saurabh Verma ,  Shailendra Mishra ,  Rebecca Laborde

    IPC: G16H50/70 ,  G06F16/245 ,  G06F16/23 ,  G16H10/20 ,  G16H10/60 ,  G16H40/67 ,  G16H40/20

    Abstract: In accordance with an embodiment, described herein are systems and methods for use of data analytics in medical applications, including the use of pattern detection in assessing self- reported participant symptom data indicative of possible illness. A patient monitoring system or service can be provided, for example at an analytics cloud environment. The system is adapted to capture self-reported participant symptom data from individual participants, and track changes in their reported symptoms over time. The system performs data queries against the received participant symptom data, to identify patterns in the data indicative of participant clusters and episodes indicative of possible illness, which information can then be provided, for example, to a medical organization system and used to respond to investigative queries. The approach can accommodate voluntary and/or intermittent reporting, including sparsity or gaps in the input stream of symptom data received from the participants.

    INTERNET CLOUD-HOSTED NATURAL LANGUAGE INTERACTIVE MESSAGING SYSTEM WITH INTENT DETERMINATION
    4.
    发明申请
    INTERNET CLOUD-HOSTED NATURAL LANGUAGE INTERACTIVE MESSAGING SYSTEM WITH INTENT DETERMINATION 审中-公开

    公开(公告)号：US20180083892A1

    公开(公告)日：2018-03-22

    申请号：US15661516

    申请日：2017-07-27

    Applicant: Oracle International Corporation

    Inventor： Sangameswaran Viswanathan ,  Shailendra Mishra ,  Anand Srinivasan

    IPC: H04L12/58 ,  G06F17/27

    Abstract: Provided are methods, systems, and computer-program products for responding to a natural language communication, sending a response to request additional information from a user, and exposing an invocable method for accessing a virtual database. Some examples relate to a bot server that can respond to natural-language messages (e.g., questions or comments) through a messaging application using natural-language messages. Other examples relate to storage of event data associated with a web page or a mobile application. Event data can describe one or more actions performed in relation to the web page and/or the mobile application. Other examples relate to behavioral analytics of the event data.

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