Combining deterministic and probabilistic matching to reduce data linkage errors in hospital administrative data

ABSTRACT Objectives Data linkage algorithms are used to link together multiple episodes of care belonging to the same patient. For example, the HESID algorithm is used to generate Hospital Episode Statistics (HES) in England. HESID is a deterministic algorithm, requiring identifiers to agree or dis...

詳細記述

書誌詳細
主要な著者: Gareth Hagger-Johnson, Katie Harron, Rob Aldridge, Bo Fu, Efrosini Setakis, Harvey Goldstein, Ruth Gilbert
フォーマット: 論文
言語:English
出版事項: Swansea University 2017-04-01
シリーズ:International Journal of Population Data Science
オンライン・アクセス:https://ijpds.org/article/view/316