The Data-Adaptive Fellegi-Sunter Model for Probabilistic Record Linkage: Algorithm Development and Validation for Incorporating Missing Data and Field Selection

• 主要な著者: Xiaochun Li (著者), Huiping Xu (著者), Shaun Grannis (著者)
• フォーマット: 図書
• 出版事項: JMIR Publications, 2022-09-01T00:00:00Z.
• 主題: article
• オンライン･アクセス: Connect to this object online.

BackgroundQuality patient care requires comprehensive health care data from a broad set of sources. However, missing data in medical records and matching field selection are 2 real-world challenges in patient-record linkage. ObjectiveIn this study, we aimed to evaluate the extent to which incorporat...