Structured Data Extraction is a method in the field of data processing that systematically identifies and retrieves data from predefined, organized formats within electronic health records by leveraging known data schemas and syntactic patterns to ensure accurate and reproducible information capture.
176
Publications
9.8K
Citations
739
Authors
307
Institutions
Publications per year
2017–2026
74
Publications
176
Extracting structured data from Web pages
Arvind Arasu, Héctor García-Molina · 2003 · 701 citations
Web data extraction based on partial tree alignment
Yanhong Zhai, Bing Liu · 2005 · 495 citations
Extracting Semistructured Information from the Web.
J. Hammer, Héctor García-Molina, J. Cho et al. · 1997 · 304 citations
1–5 of 176
Authors
739
- SG
4
h-index
- AH
3
h-index
- HG
3
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- DW
3
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- CC
3
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1–5 of 739
Institutions
307
University of Washington
Seattle, United States
7 h-index
13 publications
639 citations
Google (United States)
Mountain View, United States
5 h-index
18 publications
1.2K citations
Harvard University
Cambridge, United States
4 h-index
4 publications
148 citations
Stanford University
Stanford, United States
4 h-index
7 publications
1.8K citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
4 h-index
4 publications
399 citations
University of Massachusetts Amherst
Amherst Center, United States
4 h-index
7 publications
545 citations
Centre National de la Recherche Scientifique
Paris, France
4 h-index
9 publications
247 citations
Microsoft (United States)
Redmond, United States
4 h-index
8 publications
673 citations
1–8 of 307
Venues
- PubMed
Repository · 6 publications · 300 citations
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- Data & Knowledge Engineering
DKE · 4 publications · 431 citations
4
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- PLoS ONE
4 publications · 187 citations
4
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- BMC Medical Informatics and Decision Making
3 publications · 108 citations
3
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- Information Systems
3 publications · 463 citations
3
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1–5