Cargando…
Information Theoretic Quantification of Diagnostic Uncertainty
Diagnostic test interpretation remains a challenge in clinical practice. Most physicians receive training in the use of Bayes’ rule, which specifies how the sensitivity and specificity of a test for a given disease combine with the pre-test probability to quantify the change in disease probability i...
Autores principales: | Westover, M Brandon, Eiseman, Nathaniel A, Cash, Sydney S, Bianchi, Matt T |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Bentham Open
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3537080/ https://www.ncbi.nlm.nih.gov/pubmed/23304251 http://dx.doi.org/10.2174/1874431101206010036 |
Ejemplares similares
-
A Sheaf Theoretical Approach to Uncertainty Quantification of Heterogeneous Geolocation Information
por: Joslyn, Cliff A., et al.
Publicado: (2020) -
Risk, reliability and uncertainty quantification in structural engineering: theoretical bases
por: Noori, Mohammed
Publicado: (2018) -
Information Theoretic Causal Effect Quantification
por: Wieczorek, Aleksander, et al.
Publicado: (2019) -
Significance testing as perverse probabilistic reasoning
por: Westover, M Brandon, et al.
Publicado: (2011) -
Parameter estimation and uncertainty quantification using information geometry
por: Sharp, Jesse A., et al.
Publicado: (2022)