PATENT CLAIM ANALYSIS

Application Number: 16059283
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-12
Patent Classification: ["705", "038000"]

Abstract:
Certain embodiments of the disclosed technology include systems and methods for increasing efficiency in the detection of identity-based fraud indicators. A method is provided that includes: receiving entity-supplied information comprising at least a name, a social security number (SSN), and a street address associated with a request for a payment or a benefit; querying one or more databases with the entity-supplied information; receiving a plurality of information in response to the querying; determining a validity indication of the entity supplied information; creating disambiguated entity records; determining relationships among the disambiguated records; scoring, based at least in part on determining the relationships among the disambiguated entity records, at least one parameter of the entity-supplied information; determining one or more indicators of fraud based on the scoring; and outputting, for display, one or more indicators of fraud.

Claim (Index 3):
The method of  claim 1 , wherein the PII comprises a street address and a social security number (SSN) associated with the dependent, and wherein at least one parameter of the PII comprises a number of records associating the SSN and the street address.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 96.0
- Lexical Diversity: 2.08108
- Patent Class: 705.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14949140', '14945018', '14979736', '13541157', '15248244']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1142408625673693
- 35 USC 102 Novelty (BERT): 0.543553474969787
- Combined Prediction Score: 0.157172123807611
- Mean Citation Score: 281.04575600000004
- Max Citation Score: 381.05002
- Similarity Product: 331.4210799480772

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test