Predictive Drowning Models
Predictive Drowning Models is a computational framework designed to identify and quantify the likelihood of drowning incidents by integrating environmental, behavioral, and physiological risk factors within dynamically simulated aquatic scenarios.
4
Publications
131
Citations
20
Authors
20
Institutions
Publications per year
2017–2026
1
Parents
4
1–4 of 4
20
1
h-index
1
h-index
1
h-index
Amsterdam UMC Location Vrije Universiteit Amsterdam, Netherlands
1 publications · 64 citations
1
h-index
1
h-index
1–5 of 20
20
Médecins Sans Frontières
New York, United States
1 h-index
1 publications
64 citations
University of Portsmouth
Portsmouth, United Kingdom
1 h-index
1 publications
64 citations
Hidromod (Portugal)
Porto Salvo, Portugal
1 h-index
1 publications
15 citations

Aarhus University
Aarhus, Denmark
1 h-index
2 publications
78 citations

New York City Fire Department
New York, United States
1 h-index
1 publications
64 citations
Université de Bordeaux
Bordeaux, France
1 h-index
5 publications
65 citations
Universidade de Santiago de Compostela
Santiago de Compostela, Spain
1 h-index
1 publications
64 citations

Universidade do Porto
Porto, Portugal
1 h-index
1 publications
64 citations
1–8 of 20
1 publications · 13 citations
1
h-index
1 publications · 39 citations
1
h-index
1 publications · 15 citations
1
h-index
AJEM · 1 publications · 64 citations
1
h-index
1–4