Computational Phenotyping Algorithms
Computational Phenotyping Algorithms is a systematic method that leverages computational techniques to derive and define disease phenotypes from complex biomedical data by identifying meaningful patterns indicative of clinical traits, thereby distinguishing it from general data analysis approaches through its specific focus on phenotype inference in healthcare and life sciences research.
109
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8.4K
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838
Authors
401
Institutions
Publications per year
2017–2026
77
Parents
109
Katherine M. Newton, Peggy Peissig, A. N. Kho et al. · Journal of the American Medical Informatics Association · 2013 · 426 citations · Full text
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Harvard University
Cambridge, United States
15 h-index
63 publications
5K citations
Northwestern University
Evanston, United States
13 h-index
51 publications
5.2K citations

Vanderbilt University
Nashville, United States
12 h-index
40 publications
17.3K citations

Brigham and Women's Hospital
Boston, United States
11 h-index
34 publications
3.2K citations
Vanderbilt University Medical Center
Nashville, United States
10 h-index
65 publications
5.2K citations

Mass General Brigham
Boston, United States
8 h-index
23 publications
1.8K citations
Massachusetts General Hospital
Boston, United States
8 h-index
16 publications
1.9K citations

Cornell University
Ithaca, United States
7 h-index
22 publications
725 citations
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JAMIA · 12 publications · 1.6K citations
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Repository · 6 publications · 368 citations
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5 publications · 281 citations
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5 publications · 116 citations
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3 publications · 1.4K citations
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