Feature Selection For Subtyping
Feature Selection for Subtyping is a methodological process that identifies and prioritizes discriminative variables or attributes from high-dimensional biological or clinical data to optimally distinguish between disease subtypes.
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2017–2026
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Farshad Saberi-Movahed, Farshad Saberi-Movahed, Mahyar Mohammadifard et al. · Computers in Biology and Medicine · 2022 · 66 citations · Full text
Automated Ischemic Stroke Subtyping Based on Machine Learning Approach
Gang Fang, Peng Xu, Wenbin Liu · IEEE Access · 2020 · 48 citations · Full text
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Graduate University of Advanced Technology
Kerman, Iran
2 h-index
18 publications
819 citations
Birjand University of Medical Sciences
Birjand, Iran
2 h-index
10 publications
455 citations
North Carolina State University
Raleigh, United States
2 h-index
8 publications
364 citations

Queensland University of Technology
Brisbane, Australia
2 h-index
8 publications
364 citations

University of Oulu
Oulu, Finland
2 h-index
4 publications
182 citations
Australian Regenerative Medicine Institute
Clayton, Australia
2 h-index
4 publications
182 citations

Icahn School of Medicine at Mount Sinai
New York, United States
2 h-index
4 publications
182 citations
National Institute of Neurological Disorders and Stroke
Bethesda, United States
2 h-index
4 publications
182 citations
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1 publications · 11 citations
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1 publications · 48 citations
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Repository · 1 publications · 25 citations
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Repository · 1 publications · 29 citations
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1 publications · 66 citations
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