Forecasting Disease Severity
Forecasting Disease Severity is a predictive modeling approach in public health analytics that estimates the magnitude and progression of clinical impact of infectious diseases within populations over time.
61
Publications
3.2K
Citations
545
Authors
212
Institutions
Publications per year
2017–2026
48
Parents
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A machine learning-based model for survival prediction in patients with severe COVID-19 infection
Yan Li, Hai‐Tao Zhang, Jorge Gonçalves et al. · medRxiv · 2020 · 426 citations · Full text
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Consorzio Venezia Ricerche
Venice, Italy
3 h-index
9 publications
303 citations
INGV Osservatorio Vesuviano
Naples, Italy
3 h-index
9 publications
303 citations

University of Hong Kong
Pok Fu Lam, Hong Kong
3 h-index
12 publications
1.3K citations

University of Naples Federico II
Naples, Italy
3 h-index
6 publications
202 citations
Regione Puglia
Bari, Italy
3 h-index
3 publications
101 citations
University of Zurich
Zurich, Switzerland
3 h-index
3 publications
101 citations
Institute for Research on Innovation and Services for Development
Naples, Italy
3 h-index
3 publications
101 citations
Istituto Nazionale di Fisica Nucleare, Sezione di Napoli
Naples, Italy
3 h-index
3 publications
101 citations
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Repository · 7 publications · 515 citations
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3 publications · 404 citations
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3 publications · 87 citations
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2 publications · 53 citations
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2 publications · 63 citations
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