Population Risk Modeling
Population Risk Modeling is a computational framework within preventive care informatics that characterizes the aggregate health risks of a defined population by integrating demographic, clinical, and behavioral data to predict disease incidence and guide population-level intervention strategies.
121
Publications
6.8K
Citations
621
Authors
314
Institutions
Publications per year
2017–2026
45
Parents
121
Andrew Clark, Mark Jit, Charlotte Warren‐Gash et al. · The Lancet Global Health · 2020 · 1.2K citations · Full text
Veterinary Medicine, Infectious Diseases, Population Health Sciences +17
Sudden Unexpected Death in Epilepsy
Richard M. Dasheiff · Journal of Clinical Neurophysiology · 1991 · 189 citations
Medicine, Biostatistics, Neurology +13
Meghan O’Hearn, Junxiu Liu, Frederick Cudhea et al. · Journal of the American Heart Association · 2021 · 178 citations · Full text
Public Health, Health Sciences, Population Health Sciences +14
1–5 of 121
621
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314
Institute for Clinical Evaluative Sciences
Toronto, Canada
9 h-index
46 publications
1.8K citations

University of Toronto
Toronto, Canada
8 h-index
26 publications
1K citations

Ottawa Hospital
Ottawa, Canada
6 h-index
28 publications
1.1K citations
Public Health Ontario
Toronto, Canada
6 h-index
22 publications
946 citations
University of Washington
Seattle, United States
5 h-index
9 publications
1.4K citations
Ottawa Hospital Research Institute
Ottawa, Canada
5 h-index
27 publications
1.1K citations
Statistics Canada
Ottawa, Canada
5 h-index
20 publications
920 citations
University College London
London, United Kingdom
5 h-index
16 publications
1.7K citations
1–8 of 314
6 publications · 110 citations
6
h-index
4 publications · 105 citations
4
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4 publications · 194 citations
4
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HERA · 3 publications · 145 citations
3
h-index
3 publications · 238 citations
3
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1–5