Predictive Mortality Modeling
Predictive Mortality Modeling is a computational or statistical framework that quantitatively estimates the probability of mortality for individuals or populations over a specified time horizon by analyzing demographic, clinical, and behavioral risk factors.
366
Publications
25.1K
Citations
1.9K
Authors
862
Institutions
Publications per year
2017–2026
204
Parents
366
1–5 of 366
1.9K
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h-index
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862
Stanford University
Stanford, United States
13 h-index
22 publications
1.3K citations
Harvard University
Cambridge, United States
12 h-index
26 publications
1.9K citations

University of Toronto
Toronto, Canada
11 h-index
24 publications
3.3K citations
University of California, San Francisco
San Francisco, United States
11 h-index
28 publications
1.6K citations
Institute for Clinical Evaluative Sciences
Toronto, Canada
8 h-index
18 publications
3.8K citations

Monash University
Melbourne, Australia
6 h-index
12 publications
1.2K citations

Icahn School of Medicine at Mount Sinai
New York, United States
6 h-index
27 publications
2.9K citations
University of Washington
Seattle, United States
6 h-index
29 publications
2.2K citations
1–8 of 862
17 publications · 1.2K citations
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13 publications · 370 citations
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12 publications · 589 citations
12
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Repository · 7 publications · 225 citations
7
h-index
6 publications · 265 citations
6
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