
The Data-Adaptive Fellegi-Sunter Model for Probabilistic Record Linkage: Algorithm Development and Validation for Incorporating Missing Data and Field Selection
Author(s) -
Xiaochun Li,
Huiping Xu,
Shaun J. Grannis
Publication year - 2022
Publication title -
jmir. journal of medical internet research/journal of medical internet research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.446
H-Index - 142
eISSN - 1439-4456
pISSN - 1438-8871
DOI - 10.2196/33775
Subject(s) - data deduplication , record linkage , missing data , matching (statistics) , data mining , computer science , data quality , medical record , linkage (software) , field (mathematics) , probabilistic logic , data set , machine learning , artificial intelligence , statistics , medicine , population , database , mathematics , engineering , metric (unit) , operations management , biochemistry , environmental health , chemistry , gene , pure mathematics , radiology