Symptom Segmentation
Symptom Segmentation is a methodological framework in clinical informatics that identifies and delineates discrete symptomatic components from continuous patient-reported narratives or multimodal health data to enable precise phenotyping and temporal analysis of disease manifestations.
11
Publications
316
Citations
34
Authors
21
Institutions
Publications per year
2017–2026
9
Parents
11
Jackson Steinkamp, Wasif Bala, Abhinav Sharma et al. · Journal of Biomedical Informatics · 2019 · 35 citations
Parikshit Sondhi, Jimeng Sun, Hanghang Tong et al. · 2012 · 31 citations
Symptom severity classification with gradient tree boosting
Yang Liu, John Chu Nguyen, Haodan Li et al. · Journal of Biomedical Informatics · 2017 · 28 citations · Full text
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34
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The University of Texas Health Science Center at Houston, United States
1 publications · 27 citations
1
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1
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1
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1
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1–5 of 34
21
St. John's School
Houston, United States
1 h-index
1 publications
27 citations
Brazilian Agricultural Research Corporation
Brasília, Brazil
1 h-index
1 publications
92 citations
University of Illinois Urbana-Champaign
Urbana, United States
1 h-index
2 publications
62 citations

University of Toronto
Toronto, Canada
1 h-index
1 publications
35 citations

Sunnybrook Health Science Centre
Toronto, Canada
1 h-index
1 publications
35 citations
University of Antwerp
Antwerp, Belgium
1 h-index
4 publications
104 citations
Antwerp University Hospital
Antwerp, Belgium
1 h-index
3 publications
78 citations
Brown University
Providence, United States
1 h-index
1 publications
35 citations
1–8 of 21
4 publications · 116 citations
4
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1 publications · 92 citations
1
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1 publications · 18 citations
1
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1 publications · 11 citations
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1 publications · 12 citations
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