Algorithmic Phenotyping Evaluation
Algorithmic Phenotyping Evaluation is a scholarly methodological framework that systematically assesses the accuracy, reliability, and generalizability of computational algorithms designed to derive phenotypic definitions from complex biomedical data.
3
Publications
99
Citations
17
Authors
7
Institutions
Publications per year
2017–2026
3
Parents
3
Santiago Esteban, Manuel Rodríguez Tablado, Francisco E. Peper et al. · Computer Methods and Programs in Biomedicine · 2017 · 26 citations
Alisa Maria Vittoria Reiter, Jean Tori Pantel, Magdalena Danyel et al. · Journal of Medical Internet Research · 2024 · 12 citations · Full text
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17
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7
Mayo Clinic
Rochester, United States
1 h-index
2 publications
36 citations
Columbia University
New York, United States
1 h-index
2 publications
110 citations
WinnMed
Decorah, United States
1 h-index
2 publications
36 citations
Universidad Hospital Italiano
Buenos Aires, Argentina
1 h-index
2 publications
52 citations

University of Minnesota
Minneapolis, United States
1 h-index
5 publications
90 citations

Hospital Italiano de Buenos Aires
Buenos Aires, Argentina
1 h-index
2 publications
52 citations
Janssen (United States)
Hopewell, United States
1 h-index
2 publications
110 citations
Charité - Universitätsmedizin Berlin
Berlin, Germany
1 publications
12 citations
1–8 of 7
1 publications · 18 citations
1
h-index
1 publications · 26 citations
1
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1 publications · 55 citations
1
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1 publications · 12 citations
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