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    SYSTEMS AND METHODS FOR TRAVEL OPTIMIZATION
    5.
    发明公开
    SYSTEMS AND METHODS FOR TRAVEL OPTIMIZATION 审中-公开

    公开(公告)号：US20230281736A1

    公开(公告)日：2023-09-07

    申请号：US18316967

    申请日：2023-05-12

    Applicant: Included Health, Inc.

    Inventor： Nathaniel Freese ,  Jyotiwardhan Patil ,  Ramakrishna Soma ,  William Roller ,  Eric Carlson

    IPC: G06Q50/14 ,  G06N20/00 ,  G06Q30/0204

    CPC classification number: G06Q50/14 ,  G06N20/00 ,  G06Q30/0205

    Abstract: Methods, systems, and computer-readable media for generating a virtual based on location. The method acquires a request for a service based on a type of service and is associated with a user, the user's location, and user preferences. The method then acquires a set of service providers based on the type of service and the user's location who are filtered from a larger set of service providers using user preferences. The method in the next step acquires a machine learning model that is based on stored information associated with other users travel patterns and with service providers providing the service and the geographical information associated with the user's location. The method executed the identified machine learning model to aggregate a subset of service providers based on output from the machine learning model. The machine learning model is inputted the set of service providers, the user's location, the user's preferences, and the geographical information.

    SYSTEMS AND METHODS FOR OBJECT IDENTIFICATION AND ANALYSIS
    6.
    发明申请
    SYSTEMS AND METHODS FOR OBJECT IDENTIFICATION AND ANALYSIS 有权

    公开(公告)号：US20250022259A1

    公开(公告)日：2025-01-16

    申请号：US18352974

    申请日：2023-07-14

    Applicant: Included Health, Inc.

    Inventor： Michael Rollins

    IPC: G06V10/776 ,  G06V10/25 ,  G06V10/46

    Abstract: Methods, systems, and computer-readable media for automatically identifying and analyzing objects. The method includes receiving input data comprising image data having a plurality of objects, and identifying, from the image data, an object of interest of the plurality of objects. The method also includes identifying key frame data from the image data based on the identified object of interest. The method also includes analyzing, from the key frame data, the identified object of interest using one or more machine learning models. The method may also include iteratively analyzing the one or more objects using machine learning model(s) and refining the machine learning model(s) based on object validation. The method may also include tagging, registering, or generating output based on the one or more analyzed objects.

    SYSTEMS AND METHODS FOR MULTI-DOMAIN DATA SEGMENTATION, AUTOMATIC HYPOTHESES GENERATION AND OUTCOME OPTIMIZATION
    7.
    发明公开
    SYSTEMS AND METHODS FOR MULTI-DOMAIN DATA SEGMENTATION, AUTOMATIC HYPOTHESES GENERATION AND OUTCOME OPTIMIZATION 审中-公开

    公开(公告)号：US20240266012A1

    公开(公告)日：2024-08-08

    申请号：US18637307

    申请日：2024-04-16

    Applicant: Included Health, Inc.

    Inventor： Eric Carlson ,  Molong Li ,  Zachary Taylor ,  Carolina Marquez

    IPC: G16H10/40

    CPC classification number: G16H10/40

    Abstract: Methods, systems, and computer-readable media for multi-domain, multi-modal data segmentation, and automatically generating and refining hypotheses. The method receives data from a plurality of data sources; synthesizing the receive data; identifying trigger event data based on the synthesized data; generating an episode based on a segmentation of the synthesized data and trigger event data; and identifying at least one set of observational features associated with the episode based on the synthesized data and a relevancy metric. The method also includes iteratively generating a hypothesis based on the observational features using machine learning, predicting an outcome based on the hypothesis using machine learning, generating an outcome measure, and validating the hypothesis based on the outcome measure. The method also includes determining an optimal hypothesis upon reaching the threshold value; analyzing coefficients associated with the optimal hypothesis; and identifying a set of factors associated based on the analyzed coefficients.

    Systems and methods for travel optimization
    8.
    发明授权
    Systems and methods for travel optimization 有权

    公开(公告)号：US12051125B2

    公开(公告)日：2024-07-30

    申请号：US18316967

    申请日：2023-05-12

    Applicant: Included Health, Inc.

    Inventor： Nathaniel Freese ,  Jyotiwardhan Patil ,  Ramakrishna Soma ,  William Roller ,  Eric Carlson

    IPC: G06Q50/14 ,  G06N20/00 ,  G06Q30/0204

    CPC classification number: G06Q50/14 ,  G06N20/00 ,  G06Q30/0205

    Abstract: Methods, systems, and computer-readable media for generating a virtual based on location. The method acquires a request for a service based on a type of service and is associated with a user, the user's location, and user preferences. The method then acquires a set of service providers based on the type of service and the user's location who are filtered from a larger set of service providers using user preferences. The method in the next step acquires a machine learning model that is based on stored information associated with other users travel patterns and with service providers providing the service and the geographical information associated with the user's location. The method executed the identified machine learning model to aggregate a subset of service providers based on output from the machine learning model. The machine learning model is inputted the set of service providers, the user's location, the user's preferences, and the geographical information.

    Systems and methods for multi-domain data segmentation, automatic hypotheses generation and outcome optimization
    10.
    发明授权
    Systems and methods for multi-domain data segmentation, automatic hypotheses generation and outcome optimization 有权

    公开(公告)号：US11978539B2

    公开(公告)日：2024-05-07

    申请号：US17752715

    申请日：2022-05-24

    Applicant: Included Health, Inc.

    Inventor： Eric Carlson ,  Molong Li ,  Zachary Taylor ,  Carolina Marquez

    IPC: G16H10/40

    CPC classification number: G16H10/40

    Abstract: Methods, systems, and computer-readable media for multi-domain, multi-modal data segmentation, and automatically generating and refining hypotheses. The method receives data from a plurality of data sources; synthesizing the receive data; identifying trigger event data based on the synthesized data; generating an episode based on a segmentation of the synthesized data and trigger event data; and identifying at least one set of observational features associated with the episode based on the synthesized data and a relevancy metric. The method also includes iteratively generating a hypothesis based on the observational features using machine learning, predicting an outcome based on the hypothesis using machine learning, generating an outcome measure, and validating the hypothesis based on the outcome measure. The method also includes determining an optimal hypothesis upon reaching the threshold value; analyzing coefficients associated with the optimal hypothesis; and identifying a set of factors associated based on the analyzed coefficients.

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