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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
5553
Venue
SIGMOD
Year
2018
Pagerank
5.2563968e-05
Overall Rank
5,958 | 58.56%
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
398 Big Data Integration 2013 VLDB 0.00024372588
702 Reasoning about Record Matching Rules 2009 VLDB 0.00017918203
1,066 Probase: A Probabilistic Taxonomy for Text Understanding 2012 SIGMOD 0.0001433416
1,491 CDAS: A Crowdsourcing Data Analytics System 2012 VLDB 0.00011694982
1,800 epiC: an Extensible and Scalable System for Processing Big Data 2014 VLDB 0.00010512649
3,322 iCrowd: An Adaptive Crowdsourcing Framework 2015 SIGMOD 7.2230626e-05
4,684 Approximate String Joins with Abbreviations 2018 VLDB 6.0006406e-05
5,830 GEMINI: An Integrative Healthcare Analytics System 2014 VLDB 5.3113542e-05
7,475 Optimizing Index for Taxonomy Keyword Search 2012 SIGMOD 4.7191809e-05
8,189 Cohort Query Processing 2017 VLDB 4.5642142e-05
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