Trajectory-based Phenotyping
Trajectory-Based Phenotyping is an unsupervised phenotype discovery method that clusters individuals into distinct clinical subgroups based on the temporal patterns of their symptom trajectories rather than on static or cross-sectional characteristics.
36
Publications
1.5K
Citations
273
Authors
176
Institutions
Publications per year
2017–2026
26
36
Francesco Muntoni, Joana Domingos, Adnan Y. Manzur et al. · PLoS ONE · 2019 · 103 citations · Full text
Public Health, Biostatistics, Differential Item Functioning +15
Peter Schulam, Fredrick M. Wigley, Suchi Saria · Proceedings of the AAAI Conference on Artificial Intelligence · 2015 · 96 citations · Full text
Sepsis subphenotyping based on organ dysfunction trajectory
Zhenxing Xu, Chengsheng Mao, Chang Su et al. · Critical Care · 2022 · 91 citations · Full text
Veterinary Medicine, Biostatistics, Clinical Epidemiology +16
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Texas Scottish Rite Hospital for Children, United States
1 publications · 16 citations
1
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1
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1–5 of 273
176

Johns Hopkins University
Baltimore, United States
4 h-index
9 publications
418 citations
University of Pennsylvania
Philadelphia, United States
3 h-index
8 publications
463 citations

University of Toronto
Toronto, Canada
2 h-index
6 publications
144 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
2 h-index
3 publications
73 citations
University of Washington
Seattle, United States
2 h-index
2 publications
82 citations

Karolinska Institutet
Stockholm, Sweden
2 h-index
7 publications
890 citations

Cincinnati Children's Hospital Medical Center
Cincinnati, United States
2 h-index
2 publications
59 citations

Universitat Autònoma de Barcelona
Cerdanyola del Vallès, Spain
2 h-index
6 publications
914 citations
1–8 of 176
2 publications · 242 citations
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2 publications · 49 citations
2
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2 publications · 148 citations
2
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1 publications · 67 citations
1
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CC · 1 publications · 91 citations
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