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公开(公告)号:US20230297826A1
公开(公告)日:2023-09-21
申请号:US17697724
申请日:2022-03-17
Applicant: MASTERCARD INTERNATIONAL INCORPORATED
Inventor: Shiny John Shaju , Anil Kumar Surisetty , Alok Singh , Deepak Chaurasiya , Stephen Patrick Flinter , Quentin Bragard , Alvin Lee , I-Hsin Chuang
CPC classification number: G06N3/08 , G06N7/005 , G06Q20/405
Abstract: An aspect of the present disclosure is drawn to a method for managing a payment network, including: learning a transaction pattern of an account over time; generating a transfer function based on the transaction pattern; predicting information for the account based on the density function; changing a state of the account based on the predicted information; and automatically transmitting a notification of a feature to an owner of the account based on the changing of the state of the account, wherein the transfer function is a probability density function of a neural network and wherein the information includes a time of a future transaction linked to a correlated marker of the payment network.
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公开(公告)号:US20230072129A1
公开(公告)日:2023-03-09
申请号:US17901262
申请日:2022-09-01
Applicant: Mastercard International Incorporated
Inventor: Nitish Kumar , Alok Singh , Deepak Chaurasiya , Kushagra Agarwal
IPC: G06Q40/08
Abstract: Computer implemented method for detecting procedure and diagnosis code anomalies in provider service data. The method includes generating a co-occurrence adjacency matrix from service provider data of a plurality of providers. The adjacency matrix includes counts of the number of co-occurrences of a plurality of diagnoses and a plurality of procedures in the service provider data. A plurality of graph node embeddings is created based on the adjacency matrix. Each of the plurality of graph node embeddings is assigned to one of a plurality of clusters. A health insurance claim is evaluated for excessive billing based on how many of the plurality of clusters is represented in the claim.
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