Diagnostic Uncertainty Analysis
Diagnostic Uncertainty Analysis is a formal methodological framework within Bayesian diagnostic reasoning that quantifies and characterizes uncertainty in diagnostic conclusions by systematically propagating prior probabilities, likelihoods, and evidence through probabilistic models to assess the reliability and confidence of differential diagnoses.
335
Publications
17.6K
Citations
1.5K
Authors
675
Institutions
Publications per year
2017–2026
110
335
Stefan Timmermans, Mara Buchbinder · Journal of Health and Social Behavior · 2010 · 383 citations
Medicine, Genetics, Pediatrics +14
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675
Harvard University
Cambridge, United States
11 h-index
26 publications
1.1K citations
University of Michigan
Ann Arbor, United States
11 h-index
18 publications
1.4K citations
University of Pittsburgh
Pittsburgh, United States
9 h-index
25 publications
1.7K citations

Brigham and Women's Hospital
Boston, United States
8 h-index
27 publications
1.1K citations
Inserm
Paris, France
6 h-index
12 publications
622 citations
Erasmus University Rotterdam
Rotterdam, The Netherlands
5 h-index
13 publications
739 citations

University of Nottingham
Nottingham, United Kingdom
5 h-index
19 publications
674 citations
Massachusetts General Hospital
Boston, United States
5 h-index
19 publications
2K citations
1–8 of 675
Repository · 18 publications · 603 citations
14
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MDM · 7 publications · 364 citations
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7 publications · 307 citations
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6 publications · 595 citations
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5 publications · 256 citations
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