Phenotype Extraction
Phenotype Extraction is a computational method in Electronic Health Record Analytics that identifies and classifies observable patient characteristics or clinical traits from structured and unstructured EHR data to support clinical research and decision-making.
119
Publications
7.4K
Citations
844
Authors
206
Institutions
Publications per year
2017–2026
78
119
Comparative Toxicogenomics Database (CTD): update 2021
Allan Peter Davis, Cynthia Grondin, Robin J. Johnson et al. · Nucleic Acids Research · 2020 · 1.1K citations · Full text
Pharmacy, Bioinformatics, Toxicology +15
Risk Prediction with Electronic Health Records: A Deep Learning Approach
Yu Cheng, Fei Wang, Ping Zhang et al. · 2016 · 400 citations
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206
Harvard University
Cambridge, United States
13 h-index
70 publications
7.4K citations
Northwestern University
Evanston, United States
12 h-index
42 publications
3.5K citations
Massachusetts General Hospital
Boston, United States
12 h-index
41 publications
3.8K citations

Vanderbilt University
Nashville, United States
10 h-index
29 publications
3K citations

Mass General Brigham
Boston, United States
10 h-index
27 publications
2.5K citations
Mayo Clinic in Arizona
Scottsdale, United States
7 h-index
19 publications
997 citations
University of Pennsylvania
Philadelphia, United States
7 h-index
20 publications
929 citations
Mayo Clinic
Rochester, United States
7 h-index
17 publications
492 citations
1–8 of 206
12 publications · 727 citations
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JAMIA · 11 publications · 1.1K citations
11
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Repository · 9 publications · 329 citations
9
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3 publications · 84 citations
4
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Repository · 3 publications · 73 citations
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