Christopher M Moody

US Patent:

20190303371, Oct 3, 2019

Filed:

Mar 29, 2019

Appl. No.:

16/370267

Inventors:

- Franklin TN, US
Kenneth Basheer Halaby - Williamstown NJ, US
John Dennis - Marietta GA, US
Sean Daniel Reisz - Tucker GA, US
Dimuthu Wijetilleke - Atlanta GA, US
Christopher Wavil Moody - Rockmart GA, US

Assignee:

Experian Health, Inc. - Franklin TN

International Classification:

G06F 16/2455
G06F 16/28
G06F 16/248
G06F 16/2453

Abstract:

Generating and providing match justifications in association with record matching results for improved record matching is provided. An entity resolution system generates a set of deterministic rules based on patterns of attribute comparison outcomes of known matched and unmatched records. Each rule includes matching conditions and an action instruction including a message of a justification for a match/non-match. The system receives a request to determine a match between two records. A matching engine compares various attributes of the records using probabilistic matching technologies to determine a match outcome. A justification engine compares attribute comparison outcomes to the stored rules. When the matching conditions of a rule are satisfied, the rule is activated and a human-readable justification is linked to the match output and provided in a match response. The justification provides insights into the match outcome, and improves the speed and accuracy of a verification process of the match output.

US Patent:

20180285355, Oct 4, 2018

Filed:

Mar 29, 2017

Appl. No.:

15/472430

Inventors:

- Franklin TN, US
Sean Daniel Reisz - Tucker GA, US
Matthew McCawley - Marietta GA, US
Christopher Wavil Moody - Rockmart GA, US
Dimuthu A. Wijetilleke - Atlanta GA, US

Assignee:

Experian Health, Inc. - Franklin TN

International Classification:

G06F 17/30

Abstract:

A request for a most reliable demographic fields data for a selected demographic field associated with an entity may be received at an entity matching system. A plurality of records associated with the entity may be received at the entity matching system. Each of the plurality of records may include at least one demographic field. A demographic field corresponding to the selected demographic field may be identified from the at least one demographic field for each of the plurality of records. A reliability score may be determined for the corresponding demographic field for each of the plurality of records. The corresponding demographic field with the highest reliability score may be determined as the most reliable demographic fields data.