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公开(公告)号：US20230113149A1
公开(公告)日：2023-04-13
申请号：US18063098
申请日：2022-12-08
发明人： Garry CHOY , Rick A. HAMILTON , Rafael Campos Do Amaral E VASCONCELLOS , Gregory J. Boss , Kerrie L. HOLLEY
IPC分类号： G06F16/93 , G06F16/9537
摘要： There is a need to automatically provide one or more electronic documents to the user. In one example, embodiments comprise, generating a facility visit data object for a user describing one or more facility attributes for one or more facilities associated with a potential visit from the user. One or more electronic documents may be determined to be retrieved based at least in part on the facility visit data object. One or more user interaction electronic document data objects may be generated to enable interaction between the user and the one or more electronic document data objects. One or more modified user interaction electronic document data objects may be received and may be provided to one or more facility computing entities in response to one or more trigger events.
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公开(公告)号：US20230187085A1
公开(公告)日：2023-06-15
申请号：US17548969
申请日：2021-12-13
摘要： Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing predictive data analysis operations. For example, certain embodiments of the present invention utilize systems, methods, and computer program products that perform predictive data analysis operations by an end-to-end machine learning framework that performs at least the following steps/operations: (i) a service request data object is processed by a diagnosis prediction machine learning model to generate a probabilistic diagnosis data object, (ii) the probabilistic diagnosis data object is processed by the hybrid diagnosis-provider classification machine learning model to generate a variable-length classification for the service request data object, and (iii) the variable-length classification is processed by a telehealth visit recommendation scoring machine learning model to generate a telehealth visit recommendation score for the service request data object.
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公开(公告)号：US20230153663A1
公开(公告)日：2023-05-18
申请号：US17530241
申请日：2021-11-18
IPC分类号： G06N7/00
CPC分类号： G06N7/005
摘要： Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing predictive data analysis operations. For example, certain embodiments of the present invention utilize systems, methods, and computer program products that perform predictive data analysis operations by an end-to-end machine learning framework that performs at least the following steps/operations: (i) a service request data object is processed by a diagnosis prediction machine learning model to generate a probabilistic diagnosis data object, (ii) the probabilistic diagnosis data object is processed by the hybrid diagnosis-provider classification machine learning model to generate a variable-length classification for the service request data object, and (iii) the variable-length classification is processed by a recommendation scoring machine learning model to generate a consultation recommendation score for the service request data object.
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公开(公告)号：US20220292140A1
公开(公告)日：2022-09-15
申请号：US17449179
申请日：2021-09-28
发明人： Garry CHOY , Rick A. HAMILTON , Rafael Campos Do Amaral E VASCONCELLOS , Gregory J. BOSS , Kerrie L. HOLLEY
IPC分类号： G06F16/93 , G06F16/9537
摘要： There is a need to automatically provide one or more electronic documents to the user. In one example, embodiments comprise, generating a facility visit data object for a user describing one or more facility attributes for one or more facilities associated with a potential visit from the user. One or more electronic documents may be determined to be retrieved based at least in part on the facility visit data object. One or more user interaction electronic document data objects may be generated to enable interaction between the user and the one or more electronic document data objects. One or more modified user interaction electronic document data objects may be received and may be provided to one or more facility computing entities in response to one or more trigger events.
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