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

Xiaochun Li | Zendy; Huiping Xu | Zendy; Shaun J. Grannis | Zendy

Open Access

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 -

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 , linkage (software) , field (mathematics) , medical record , probabilistic logic , data quality , data set , machine learning , artificial intelligence , statistics , medicine , mathematics , database , population , engineering , radiology , biochemistry , chemistry , metric (unit) , environmental health , operations management , pure mathematics , gene

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