Optimized dual threshold entity resolution for electronic health record databases--training set size and active learning.
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Embracing the Sparse, Noisy, and Interrelated Aspects of Patient Demographics for use in Clinical Medical Record LinkageSupervised Learning for Detection of Duplicates in Genomic Sequence Databases.Duplicates, redundancies and inconsistencies in the primary nucleotide databases: a descriptive study.Blockchain Technology for Healthcare: Facilitating the Transition to Patient-Driven Interoperability
P2860
Optimized dual threshold entity resolution for electronic health record databases--training set size and active learning.
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Optimized dual threshold entit ...... set size and active learning.
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Optimized dual threshold entit ...... set size and active learning.
@en
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Optimized dual threshold entit ...... set size and active learning.
@en
P2093
P2860
P1476
Optimized dual threshold entit ...... set size and active learning.
@en
P2093
Allison B McCoy
Craig W Johnson
Elmer V Bernstam
Erel Joffe
Michael J Byrne
Phillip Reeder
P2860
P304
P577
2013-11-16T00:00:00Z