Dynamic Prognostic Modeling
Dynamic Prognostic Modeling is a computational framework that belongs to the class of prognostic models in clinical informatics and is distinguished by its capacity to continuously update patient risk predictions over time through the integration of sequential physiological and laboratory data for sepsis outcomes.
124
Publications
7.1K
Citations
1.3K
Authors
387
Institutions
Publications per year
2017–2026
70
Parents
124
Francesco Passamonti, Francisco Cervantes, Alessandro M. Vannucchi et al. · Blood · 2009 · 968 citations · Full text
Medicine, Biostatistics, Oncology +14
Hans‐Christian Thorsen‐Meyer, Annelaura Bach Nielsen, Anna Pors Nielsen et al. · The Lancet Digital Health · 2020 · 329 citations · Full text
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Leiden University Medical Center
Leiden, The Netherlands
11 h-index
35 publications
1.2K citations
Inserm
Paris, France
8 h-index
37 publications
1.8K citations
Erasmus University Rotterdam
Rotterdam, The Netherlands
6 h-index
21 publications
734 citations
Erasmus MC
Rotterdam, The Netherlands
5 h-index
23 publications
758 citations

Capital Medical University
Beijing, China
5 h-index
21 publications
575 citations
Université de Bordeaux
Bordeaux, France
4 h-index
8 publications
436 citations
University of Pavia
Pavia, Italy
4 h-index
41 publications
20.8K citations

Amsterdam UMC Location University of Amsterdam
Amsterdam, The Netherlands
4 h-index
16 publications
513 citations
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6 publications · 348 citations
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5 publications · 163 citations
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4 publications · 118 citations
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4 publications · 141 citations
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4 publications · 85 citations
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