Unsupervised Disease Stratification
Unsupervised Disease Stratification is a computational methodology within disease subtyping that identifies distinct patient subgroups from heterogeneous disease populations based on intrinsic patterns in biological or clinical data without prior labeling or external guidance.
17
Publications
672
Citations
243
Authors
138
Institutions
Publications per year
2017–2026
13
Parents
17
Yiqing Zhao, Terry M. Therneau, Elizabeth J. Atkinson et al. · Journal of Biomedical Informatics · 2019 · 133 citations · Full text
Stratification of amyotrophic lateral sclerosis patients: a crowdsourcing approach
Robert Kueffner, Neta Zach, Maya Bronfeld et al. · Scientific Reports · 2019 · 56 citations · Full text
Computing, Data Science, Neurology +17
1–5 of 17
243
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1
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1–5 of 243
138

Icahn School of Medicine at Mount Sinai
New York, United States
2 h-index
2 publications
103 citations
Idaho State University
Pocatello, United States
2 h-index
2 publications
59 citations
Stanford University
Stanford, United States
2 h-index
9 publications
450 citations

City University of Hong Kong
Hong Kong, Hong Kong
2 h-index
2 publications
67 citations
Genex Systems (United States)
Newport News, United States
1 h-index
1 publications
56 citations
Academy of Mathematics and Systems Science
Beijing, China
1 h-index
2 publications
112 citations
Cardiovascular Institute of the South
Houma, United States
1 h-index
3 publications
141 citations

University of Lübeck
Lübeck, Germany
1 h-index
1 publications
18 citations
1–8 of 138
2 publications · 180 citations
2
h-index
1 publications · 25 citations
1
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1 publications · 30 citations
1
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JAHA · 1 publications · 47 citations
1
h-index
1 publications · 34 citations
1
h-index
1–5