most citedMachine-learning classifiers for logographic name matching in public health applications: approaches for incorporating phonetic, visual, and keystroke similarity in large-scale probabilistic record linkage

3 citations · 3 across the 1 of their papers we have counts for

collaborators

1 paper

cs.IR2020★ 3 cited

Machine-learning classifiers for logographic name matching in public health applications: approaches for incorporating phonetic, visual, and keystroke similarity in large-scale probabilistic record linkage

Philip A. Collender, Zhiyue Tom Hu, Charles Li +6

Approximate string-matching methods to account for complex variation in highly discriminatory text fields, such as personal names, can enhance probabilistic record linkage. However…