Multi-symptom Classification
Multi-Symptom Classification is a computational method in the domain of symptom recognition that identifies and categorizes multiple co-occurring symptoms from clinical or patient-reported data, distinguishing itself from single-symptom approaches by simultaneously modeling symptom interdependencies and their collective manifestation in disease states.
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1.8K
Citations
177
Authors
99
Institutions
Publications per year
2017–2026
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34
Some Observations on the Clinical Picture of the so-called Triple Symptom Complex
Hulusi Behçet · Dermatologica · 2009 · 125 citations
Nursing, Neurology, Psychiatry +11
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University College London
London, United Kingdom
3 h-index
3 publications
68 citations
Stony Brook University
Stony Brook, United States
2 h-index
8 publications
154 citations
Yale University
New Haven, United States
2 h-index
2 publications
139 citations
King's College London
London, United Kingdom
2 h-index
3 publications
85 citations

University of Basel
Basel, Switzerland
1 h-index
2 publications
86 citations
Heinrich Heine University Düsseldorf
Düsseldorf, Germany
1 h-index
2 publications
86 citations
Shenzhen Third People’s Hospital
Shenzhen, China
1 h-index
2 publications
56 citations
Guangdong University of Finance
Guangzhou, China
1 h-index
2 publications
30 citations
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2 publications · 139 citations
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Repository · 2 publications · 71 citations
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1 publications · 15 citations
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1 publications · 431 citations
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1 publications · 19 citations
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