US 12,106,379 B2
Using machine learning to classify insurance card information
Walter R. Smith, Seattle, WA (US); and Frédéric Médous, San Francisco, CA (US)
Assigned to WALMART APOLLO, LLC, Bentonville, AR (US)
Filed by Walmart Apollo, LLC, Bentonville, AR (US)
Filed on Jan. 30, 2023, as Appl. No. 18/103,148.
Application 18/103,148 is a continuation of application No. 17/385,758, filed on Jul. 26, 2021, granted, now 11,636,550.
Application 17/385,758 is a continuation of application No. 16/132,022, filed on Sep. 14, 2018, granted, now 11,074,656, issued on Jul. 27, 2021.
Claims priority of provisional application 62/558,781, filed on Sep. 14, 2017.
Prior Publication US 2023/0177617 A1, Jun. 8, 2023
Int. Cl. G06Q 30/00 (2023.01); G06N 20/00 (2019.01); G06Q 40/08 (2012.01); G16H 10/60 (2018.01); G16H 40/20 (2018.01); G16H 50/70 (2018.01)
CPC G06Q 40/08 (2013.01) [G06N 20/00 (2019.01); G16H 10/60 (2018.01); G16H 40/20 (2018.01); G16H 50/70 (2018.01)] 20 Claims
OG exemplary drawing
 
11. A method being implemented via execution of computing instructions configured to run on one or more processors and stored at one or more non-transitory computer-readable media, the method comprising:
obtaining at least one image of an insurance card of a user, wherein the at least one image is scanned from a mobile device of a user;
extracting one or more feature values from the at least one image of the insurance card of the user;
generating a feature vector associated with the at least one image of the insurance card of the user, wherein the feature vector comprises an ordered list of the one or more feature values;
reducing, using dimensionality reduction, an amount of data in the feature vector to a reduced set of data;
determining, by a machine learning model, as trained, a first insurance plan of the user based on machine learning model input data comprising the reduced set of data and not comprising the amount of data that is absent from the reduced set of data;
identifying at least one alternative insurance plan for the user; and
sending instructions to display (i) a recommendation of the at least one alternative insurance plan on a user interface of the mobile device of the user and (ii) multiple access options for accessing additional information about the recommendation of the at least one alternative insurance plan.