USING MACHINE LEARNING TO CLASSIFY INSURANCE CARD INFORMATION

    公开(公告)号:US20230177617A1

    公开(公告)日:2023-06-08

    申请号:US18103148

    申请日:2023-01-30

    摘要: A system including one or more processor and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform: extracting one or more feature values from at least one image of an insurance card of a user; generating a feature vector associated with the at least one image of the insurance card of the user; reducing, using dimensionality reduction, an amount of data in the feature vector to a reduced set of data; determining, by a machine learning model, a first insurance plan of the user based on machine learning model input data comprising the reduced set of data; identifying at least one alternative insurance plan for the user; and sending instructions to display a recommendation of the at least one alternative insurance plan on a user interface. Other embodiments are disclosed.

    Using machine learning to classify insurance card information

    公开(公告)号:US12106379B2

    公开(公告)日:2024-10-01

    申请号:US18103148

    申请日:2023-01-30

    摘要: A system including one or more processor and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform: extracting one or more feature values from at least one image of an insurance card of a user; generating a feature vector associated with the at least one image of the insurance card of the user; reducing, using dimensionality reduction, an amount of data in the feature vector to a reduced set of data; determining, by a machine learning model, a first insurance plan of the user based on machine learning model input data comprising the reduced set of data; identifying at least one alternative insurance plan for the user; and sending instructions to display a recommendation of the at least one alternative insurance plan on a user interface. Other embodiments are disclosed.

    Using machine learning to classify insurance card information

    公开(公告)号:US11074656B2

    公开(公告)日:2021-07-27

    申请号:US16132022

    申请日:2018-09-14

    摘要: An insurance management system receives, from a client device, at least one image of an insurance card associated with the user operating the client device. The insurance management system extracts features from the at least one image and generates a feature vector associated with the at least one image. A machine learning model receives the feature vector as input and outputs a classification comprising an association with an insurance plan. The insurance management system receives historical medical information that is specific to the user and indicates a current medical condition of the user and evaluates the insurance plan of the user in view of their historical medical information. Based on the evaluation, the insurance management system provides a recommendation that comprises one or more alternative insurance plans or one or more alternative pharmacies.

    Using machine learning to classify insurance card information

    公开(公告)号:US11636550B2

    公开(公告)日:2023-04-25

    申请号:US17385758

    申请日:2021-07-26

    摘要: A system can include one or more processors and one or more non-transitory computer-readable media storing computing instructions configured to run on the one or more processors to perform: receiving at least one image of an insurance card of a user; extracting one or more feature values from the at least one image of the insurance card of the user; reducing an amount of data in a feature vector of the at least one image of the insurance card of the user to a set of data using dimensionality reduction; determining, by a machine learning model, as trained, a first insurance plan of the user based on machine learning model input data; identifying at least one alternative insurance plan to be displayed to the user based at least in part on historical medical information associated with the user; and a recommendation comprises the at least one alternative insurance plan. Other embodiments are disclosed.

    USING MACHINE LEARNING TO CLASSIFY INSURANCE CARD INFORMATION

    公开(公告)号:US20210358050A1

    公开(公告)日:2021-11-18

    申请号:US17385758

    申请日:2021-07-26

    摘要: A system can include one or more processors and one or more non-transitory computer-readable media storing computing instructions configured to run on the one or more processors to perform: receiving at least one image of an insurance card of a user; extracting one or more feature values from the at least one image of the insurance card of the user; reducing an amount of data in a feature vector of the at least one image of the insurance card of the user to a set of data using dimensionality reduction; determining, by a machine learning model, as trained, a first insurance plan of the user based on machine learning model input data; identifying at least one alternative insurance plan to be displayed to the user based at least in part on historical medical information associated with the user; and a recommendation comprises the at least one alternative insurance plan. Other embodiments are disclosed.