Assertion Detection
Assertion Detection is a natural language processing task that identifies the evidential status or certainty of a clinical condition or phenotype in text by classifying assertions into categories such as present, absent, possible, or hypothetical.
26
Publications
2.3K
Citations
86
Authors
31
Institutions
Publications per year
2017–2026
8
Variants
Assertion Status Detection
26
GoldMine: Automatic assertion generation using data mining and static analysis
Shobha Vasudevan, David Sheridan, Sanjay J. Patel et al. · 2010 · 120 citations
1–5 of 26
86
University of Illinois Urbana-Champaign, United States
4 publications · 335 citations
4
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 86
31
University of Illinois Urbana-Champaign
Urbana, United States
4 h-index
18 publications
1.6K citations
University of Verona
Verona, Italy
2 h-index
5 publications
202 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
3 publications
62 citations
University of California, Santa Barbara
Santa Barbara, United States
2 h-index
4 publications
162 citations
Amazon (United States)
Seattle, United States
1 h-index
2 publications
82 citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
1 h-index
4 publications
104 citations
Laboratoire de l'Intégration du Matériau au Système
Talence, France
1 h-index
4 publications
44 citations
Charité - Universitätsmedizin Berlin
Berlin, Germany
1 h-index
2 publications
50 citations
1–8 of 31
JAMIA · 3 publications · 1.3K citations
3
h-index
1 publications · 27 citations
1
h-index
Conference · 1 publications · 42 citations
1
h-index
Conference · 1 publications · 16 citations
1
h-index
1 publications · 62 citations
1
h-index
1–5