Probable matches are determined by the algorithm described below.
There are 5 required fields in the search:
SSN
First name
Last name
DOB
Gender
The are weighted as follows:
4 x SSN score
1 x First name score
2 x Last name score
1 x DOB score
1 x Gender score
The total possible score is 12. The system displays all results that have a score > 5.9.
Determined by a normalized Levenshtein distance score which is determined by the (longest string - the total number of transformations)/ the longest string. This will result in a score of between 0 and 1.
There are two attributes to the name score. The first is a double metaphone search which will return true or false. If true the score is 1, and if false the score is -1. The second score is based on the normalized Levenshtein determination.
There are two attributes to the name score. The first is a double metaphone search which will return true or false. If true the score is 1, and if false the score is -1. The second score is based on the normalized Levenshtein determination.
Exact Match = 1, within 30 days = 0.5, within 365 days = 0.2, mm/dd match = 0.2, mm/yy match = 0.2, No Data for the variable = 0, No Match = -1.
Match = 1, No Data for the variable = 0, No Match = -1.