Automatic Phenotyping
Automatic Phenotyping is a computational method in clinical natural language processing that identifies and classifies patient-specific clinical characteristics from unstructured electronic health records by leveraging textual data to infer phenotypic profiles.
101
Publications
5.5K
Citations
598
Authors
206
Institutions
Publications per year
2017–2026
75
Variants
Automated Phenotyping
101
Toward automatic phenotyping of developing embryos from videos
Ning Feng, D. Delhomme, Yann LeCun et al. · IEEE Transactions on Image Processing · 2005 · 269 citations · Full text
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206
Harvard University
Cambridge, United States
10 h-index
67 publications
5.4K citations
Mayo Clinic
Rochester, United States
9 h-index
25 publications
794 citations
Mayo Clinic in Florida
Jacksonville, United States
9 h-index
27 publications
1.6K citations

Vanderbilt University
Nashville, United States
8 h-index
20 publications
981 citations
Columbia University
New York, United States
8 h-index
30 publications
879 citations

Icahn School of Medicine at Mount Sinai
New York, United States
7 h-index
39 publications
1.1K citations
Northwestern University
Evanston, United States
7 h-index
22 publications
1.4K citations
Vanderbilt University Medical Center
Nashville, United States
7 h-index
37 publications
1.5K citations
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JAMIA · 12 publications · 1.1K citations
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Repository · 9 publications · 439 citations
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8 publications · 311 citations
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Book series · 5 publications · 131 citations
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4 publications · 467 citations
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