Portable Phenotyping Models
Portable Phenotyping Models is a computational framework in biomedical informatics that enables the derivation of patient phenotypes from electronic health records in a manner generalizable across diverse healthcare settings and data environments through standardized, reusable, and transportable algorithmic components.
7
Publications
526
Citations
51
Authors
26
Institutions
Publications per year
2017–2026
6
7
Rachel Richesson, Jimeng Sun, Jyotishman Pathak et al. · Artificial Intelligence in Medicine · 2016 · 113 citations · Full text
1–5 of 7
51
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2
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2
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2
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2
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1–5 of 51
26
Northwestern University
Evanston, United States
4 h-index
11 publications
505 citations
King's College London
London, United Kingdom
2 h-index
4 publications
104 citations
Mayo Clinic in Florida
Jacksonville, United States
2 h-index
2 publications
161 citations

Huazhong Agricultural University
Wuhan, China
1 h-index
3 publications
51 citations

Huazhong University of Science and Technology
Wuhan, China
1 h-index
4 publications
68 citations
Agricultural Genomics Institute at Shenzhen
Shenzhen, China
1 h-index
2 publications
34 citations
Mayo Clinic
Rochester, United States
1 h-index
3 publications
87 citations
Centro Internacional de Mejoramiento de Maíz Y Trigo
Texcoco, Mexico
1 h-index
2 publications
534 citations
1–8 of 26
Repository · 1 publications · 16 citations
1
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1 publications · 36 citations
1
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1 publications · 267 citations
1
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1 publications · 29 citations
1
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1 publications · 48 citations
1
h-index
1–5