Rule-based Phenotype Classification
Rule-Based Phenotype Classification is a phenotype classification method that relies on predefined diagnostic criteria, clinical guidelines, or expert-derived logical rules to assign phenotype labels to individuals, distinguishing it from data-driven or machine learning approaches by its dependence on explicit, interpretable rules.
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2017–2026
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Kelly D. Farwell Hagman, Deepali N. Shinde, Cameron Mroske et al. · Genetics in Medicine · 2016 · 55 citations · Full text
Sudhi G. Upadhyaya, Dennis H. Murphree, Che Ngufor et al. · Mayo Clinic Proceedings Innovations Quality & Outcomes · 2017 · 39 citations · Full text
A Rule-Based Categorization Deficit in Alzheimer's Disease?
Murray Grossman, Keith Robinson, Nechama Bernhardt et al. · Brain and Cognition · 2001 · 19 citations
Medicine, Neurology, Neuroscience +12
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Columbia University
New York, United States
2 h-index
8 publications
168 citations
Mayo Clinic
Rochester, United States
2 h-index
2 publications
57 citations

Children's Hospital of Philadelphia
Philadelphia, United States
2 h-index
2 publications
42 citations
Kaiser Permanente Washington Health Research Institute
Seattle, United States
2 h-index
3 publications
66 citations
University of Washington
Seattle, United States
2 h-index
3 publications
60 citations
Northwestern University
Evanston, United States
2 h-index
14 publications
300 citations
Mayo Clinic in Florida
Jacksonville, United States
2 h-index
10 publications
315 citations
Intermountain Healthcare
Salt Lake City, United States
2 h-index
2 publications
42 citations
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1 publications · 12 citations
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1 publications · 19 citations
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1 publications · 28 citations
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1 publications · 19 citations
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Repository · 1 publications · 10 citations
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