Laboratory Data Modeling is a systematic framework within clinical data modeling that formally represents the structure, semantics, and relationships of laboratory test results, specimens, and associated metadata to enable standardized data integration, analysis, and interoperability in healthcare and research settings.
166
Publications
7.6K
Citations
645
Authors
311
Institutions
Publications per year
2017–2026
35
Parents
Publications
166
1–5 of 166
Authors
645
- PB
3
h-index
- AL
3
h-index
- DJ
3
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- JK
2
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- JM
2
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1–5 of 645
Institutions
311
University of Florida
Gainesville, United States
4 h-index
11 publications
247 citations
University of Washington
Seattle, United States
4 h-index
22 publications
383 citations
University of California, Santa Barbara
Santa Barbara, United States
3 h-index
3 publications
100 citations
National Institute of Standards and Technology
Gaithersburg, United States
3 h-index
7 publications
144 citations
Centers for Disease Control and Prevention
Atlanta, United States
2 h-index
7 publications
355 citations
University of Cambridge
Cambridge, United Kingdom
2 h-index
2 publications
88 citations
Ames Research Center
Mountain View, United States
2 h-index
4 publications
298 citations
Institute of Applied Physics
Nizhny Novgorod, Russia
2 h-index
11 publications
247 citations
1–8 of 311
Venues
- PubMed
Repository · 4 publications · 89 citations
4
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- Clinica Chimica Acta
CCA · 4 publications · 88 citations
4
h-index
- Chemical Engineering Science
3 publications · 79 citations
3
h-index
- Journal of the American Medical Informatics Association
JAMIA · 3 publications · 164 citations
3
h-index
- The Astrophysical Journal
ApJ · 3 publications · 87 citations
3
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1–5