A machine learning approach to create blocking criteria for record linkage-Reference-Cited by-同舟云学术

A machine learning approach to create blocking criteria for record linkage

Published:2014-04-29 Issue:1 Volume:18 Page:93-105
ISSN:1386-9620
Container-title:Health Care Management Science
language:en
Short-container-title:Health Care Manag Sci

Author:

Giang Phan H.

Publisher

Springer Science and Business Media LLC

Subject

General Health Professions,Medicine (miscellaneous)

Link

http://link.springer.com/content/pdf/10.1007/s10729-014-9276-0.pdf

Reference25 articles.

1. Aizenstein H, Pitt L (1995) On the learnability of disjunctive normal form formulas. Mach Learn 19: 183–208

2. Ricardo B-Y, Berthier R-N (1999) Modern Information Retrieval. Addison Wesley

3. Baxter R, Christen P, Churches T (2003) A comparison of fast blocking methods for record linkage. In: Proceedings of ACM SIGKDD’03 Workshop on Data Cleaning, Record Linkage, and Object Consolidation, pp. 25–27

4. Blum A, Burch C, Langford J (1998) On learning monotone boolean functions. In: IEEE Symposium on Foundations of Computer Science, pp. 408–415

5. Bouhaddou O, Bennett J, Cromwell T, Nixon G, Teal J, Davis M , Smith R, Fischetti L , Parker D, Gillen Z, Mattison J (2011) The Department of Veterans Affairs, Department of Defense, and Kaiser Permanente Nationwide Health Information Network exchange in San Diego: patient selection, consent, and identity matching. AMIA Ann Symp Procs 2011: 135–43

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