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Enhancing the ATra Black Box Matching Algorithm: Use of All Names for Deduplication Across Jurisdictions.

Auntré D HampHelen E KarnFrances Y KwonAnne RhodesJames CarrierReshma BhattacharjeeColin FlynnTrevor HsuJohn McNeiceBridget J AndersonJoyce ChicoineJessica FridgeJustice KingGarret R LumTej MishraAlisa KangJ C Smart
Published in: Public health reports (Washington, D.C. : 1974) (2022)
HIV data quality across multiple jurisdictions can be improved by using all known first and last names of people living with diagnosed HIV that match with eHARS rather than using only 1 first and last name.
Keyphrases
  • antiretroviral therapy
  • hiv positive
  • hiv testing
  • hiv infected
  • human immunodeficiency virus
  • hepatitis c virus
  • hiv aids
  • men who have sex with men
  • machine learning
  • electronic health record
  • big data
  • binding protein