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)
Incoming Non-self Citations Over Time
Authors
- 1. Jian Dai (National University of Singapore)
- 2. Meihui Zhang (Beijing Institute of Technology)
- 3. Gang Chen (Zhejiang University)
- 4. Ju Fan (Renmin University of China)
- 5. Kee Yuan Ngiam (National University Hospital)
- 6. Beng Chin Ooi (National University of Singapore)
BibTeX Citation
@inproceedings{dai_sigmod18,
title = {{Fine-grained Concept Linking using Neural Networks in Healthcare}},
author = {Dai, Jian and Zhang, Meihui and Chen, Gang and Fan, Ju and Ngiam, Kee Yuan and Ooi, Beng Chin},
series = {{SIGMOD} '18},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3183713.3196907},
url = {https://dl.acm.org/doi/10.1145/3183713.3196907},
year = {2018}
}
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,310 | Similarity Query Processing for High-Dimensional Data | 2020 | VLDB | 7.5363562e-05 |
| 4,905 | Medical Entity Disambiguation Using Graph Neural Networks | 2021 | SIGMOD | 6.4497268e-05 |
| 6,421 | Falcon: A Privacy-Preserving and Interpretable Vertical Federated Learning System | 2023 | VLDB | 5.8819368e-05 |
| 9,473 | FEAST: A Communication-efficient Federated Feature Selection Framework for Relational Data | 2023 | SIGMOD | 5.2634238e-05 |
| 11,293 | Dealing with Acronyms, Abbreviations, and Typos in Real-World Entity Matching | 2024 | VLDB | 5.093636e-05 |
| 13,421 | DyHealth: Making Neural Networks Dynamic for Effective Healthcare Analytics | 2022 | VLDB | - |
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Outgoing Citations (Sorted by Pagerank)
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 |
|---|---|---|---|---|
| 427 | Big Data Integration | 2013 | VLDB | 0.00018661543 |
| 619 | Reasoning about Record Matching Rules | 2009 | VLDB | 0.00015707247 |
| 908 | Probase: A Probabilistic Taxonomy for Text Understanding | 2012 | SIGMOD | 0.00013300624 |
| 1,270 | CDAS: A Crowdsourcing Data Analytics System | 2012 | VLDB | 0.00011388453 |
| 2,354 | epiC: an Extensible and Scalable System for Processing Big Data | 2014 | VLDB | 8.7060612e-05 |
| 3,262 | iCrowd: An Adaptive Crowdsourcing Framework | 2015 | SIGMOD | 7.5846052e-05 |
| 4,396 | Approximate String Joins with Abbreviations | 2018 | VLDB | 6.7268636e-05 |
| 6,128 | GEMINI: An Integrative Healthcare Analytics System | 2014 | VLDB | 5.9668307e-05 |
| 7,896 | Optimizing Index for Taxonomy Keyword Search | 2012 | SIGMOD | 5.5201308e-05 |
| 8,176 | Cohort Query Processing | 2017 | VLDB | 5.4736785e-05 |
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| 10 | 4,905 | Medical Entity Disambiguation Using Graph Neural Networks | 2021 | SIGMOD |