Method and system for predicting the probability of regulatory compliance approval

Number of patents in Portfolio can not be more than 2000

United States of America

PATENT NO 12260351
APP PUB NO 20200143277A1
SERIAL NO

16179051

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Abstract

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Methods and systems for automatically predicting the probability of regulatory compliance approval based on data contained in a data structure. A data structure can be configured to include data collated and collected from one or more regulators (e.g., regulatory agencies) and one or more value chain participants. Such data is inclusive of data indicative of actual approval-request results of applications for regulatory approval by one or more regulators and variable weights assigned to different data elements. A prediction can be then made as to the probability that an application for regulatory approval by a value chain participant will be approved by a regulator based on the data collated and collected and contained in the data structure. This approach predicts the probability that an application for regulatory approval by a value chain participant will be approved and also predicts what is missing for a regulatory approval application.

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Patent Owner(s)

Patent OwnerAddress
XEROX CORPORATION45 GLOVER AVENUE NORWALK CT 06856-4505

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Glass, Larry Pittsford, US 4 45
Korndoerfer, Stephen Kyle West Henrietta, US 2 11
Levine, Jonathan Rochester, US 67 1005
Merriam, Ray Uri Rochester, US 9 34
Nama, Vijayakrishna Webster, US 2 10
St, Germaine Joseph Martin Fairport, US 2 18
Wiseman, Michael Webster, US 6 64

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