SYSTEM AND METHOD FOR USE OF PATTERN DETECTION IN ASSESSING SELF-REPORTED SYMPTOM DATA

    公开(公告)号:US20220310268A1

    公开(公告)日:2022-09-29

    申请号:US17214659

    申请日:2021-03-26

    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.

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