Expected Mortality Modeling
Expected Mortality Modeling is a predictive analytics framework used in healthcare research that estimates the probability of patient death under standard care conditions, differentiated by its reliance on clinical severity indicators and population-level outcome data to quantify risk-adjusted mortality expectations.
54
Publications
5.4K
Citations
351
Authors
197
Institutions
Publications per year
2017–2026
20
54
Francesco Passamonti, Chiara Cattaneo, Luca Arcaini et al. · The Lancet Haematology · 2020 · 554 citations · Full text
Medicine, Hematology, Oncology +16
Anne Fouillet, Grégoire Rey, Vérène Wagner et al. · International Journal of Epidemiology · 2008 · 470 citations · Full text
Public Health, Preventive Medicine, Epidemiologic Methods +16
Outmigration For Coronary Bypass Surgery in an Era of Public Dissemination of Clinical Outcomes
Nowamagbe A. Omoigui, Dave P. Miller, Kimberly Brown et al. · Circulation · 1996 · 234 citations
Medicine, Cardiology, Surgery +14
1–5 of 54
351
2
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 351
197
Stanford University
Stanford, United States
3 h-index
3 publications
313 citations

Johns Hopkins University
Baltimore, United States
3 h-index
5 publications
173 citations
University of Michigan
Ann Arbor, United States
3 h-index
8 publications
308 citations
Texas Children's Hospital
Houston, United States
2 h-index
3 publications
67 citations
Carlo Forlanini Hospital
Rome, Italy
2 h-index
6 publications
609 citations
Finnish Cancer Registry
Helsinki, Finland
2 h-index
3 publications
169 citations

Sapienza University of Rome
Rome, Italy
2 h-index
4 publications
1.1K citations
C. S. Mott Children's Hospital
Ann Arbor, United States
2 h-index
5 publications
153 citations
1–8 of 197
4 publications · 320 citations
4
h-index
3 publications · 535 citations
3
h-index
3 publications · 157 citations
3
h-index
Repository · 2 publications · 77 citations
2
h-index
2 publications · 57 citations
2
h-index
1–5