The use of Supervised Learning to perform pairwise classification for Record Linkage over real world data
Ramon Pereira, Wagner Meira Junior, Augusto Afonso Guerra Junior · 2024
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Description
Ramon Pereira, Wagner Meira Junior, and Augusto Afonso Guerra Junior test taught machine models for linking records about the same person, in a study from 2024. Health systems hold many records, and telling which pairs match is slow when done by hand rules.
The team built a checked set of record pairs from Brazil health data, with traits such as name, sex, city, and birth date. They tried four model types on a sample of pairs. One tree based model scored best, and a privacy safe coded form still scored well. The authors say taught models can set weights and calls in one step.
Catalog record
| CREATOR | Ramon Pereira, Wagner Meira Junior, Augusto Afonso Guerra Junior |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 2 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |