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Fine-grained Concept Linking using Neural Networks in Healthcare

Summary: Neural Concept Linking (NCL) for healthcare concept linking with COM-AID, addressing word mismatch and overlapping concept senses. Encode-decode with dual attention injects textual and structural context, enabling precise mapping; real-world data show gains over SOTA. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5554
Venue
SIGMOD
Year
2018
Pagerank
5.2514585e-05
Overall Rank
5,959 | 58.59%
DOI
10.1145/3183713.3196907

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Showing 10 of 10 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
394 Big Data Integration 2013 VLDB 0.0002447017
700 Reasoning about Record Matching Rules 2009 VLDB 0.00017927576
1,068 Probase: A Probabilistic Taxonomy for Text Understanding 2012 SIGMOD 0.00014316508
1,491 CDAS: A Crowdsourcing Data Analytics System 2012 VLDB 0.00011685731
1,797 epiC: an Extensible and Scalable System for Processing Big Data 2014 VLDB 0.00010502488
3,324 iCrowd: An Adaptive Crowdsourcing Framework 2015 SIGMOD 7.2163115e-05
4,682 Approximate String Joins with Abbreviations 2018 VLDB 5.9949001e-05
5,842 GEMINI: An Integrative Healthcare Analytics System 2014 VLDB 5.3062554e-05
7,474 Optimizing Index for Taxonomy Keyword Search 2012 SIGMOD 4.7146619e-05
8,189 Cohort Query Processing 2017 VLDB 4.5598377e-05
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