Stable Feature Identification
Stable Feature Identification is a methodological process within feature stability analysis that distinguishes itself by systematically detecting and validating features exhibiting consistent relevance or significance across varying conditions, datasets, or model perturbations to ensure robustness and generalizability in predictive modeling.
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1.3K
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101
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56
Institutions
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2017–2026
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Cellular DNA content--a stable feature in epithelial ovarian cancer
Michael Friedländer, Ian W. Taylor, Pamela J. Russell et al. · British Journal of Cancer · 1984 · 70 citations
Medicine, Cancer Biology, Oncology +13
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Fırat University
Elâzığ, Türkiye
1 h-index
3 publications
204 citations
Purple Mountain Laboratories
Nanjing, China
1 h-index
1 publications
13 citations
IBM Research - Ireland
Dublin, Ireland
1 h-index
1 publications
28 citations
NIHR Surgical Reconstruction and Microbiology Research Centre
Birmingham, United Kingdom
1 h-index
2 publications
288 citations
Yale University
New Haven, United States
1 h-index
4 publications
136 citations

Gdańsk Medical University
Gdansk, Poland
1 h-index
5 publications
175 citations

University of Birmingham
Birmingham, United Kingdom
1 h-index
5 publications
720 citations
University Hospitals Birmingham NHS Foundation Trust
Birmingham, United Kingdom
1 h-index
5 publications
720 citations
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2 publications · 80 citations
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1 publications · 23 citations
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1 publications · 230 citations
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1 publications · 144 citations
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1 publications · 121 citations
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