Cargando…
Artificial Neural Networks Versus Multiple Logistic Regression to Predict 30-Day Mortality After Operations For Type A Ascending Aortic Dissection
BACKGROUND: There are few comparative reports on the overall accuracy of neural networks (NN), assessed only versus multiple logistic regression (LR), to predict events in cardiovascular surgery studies and none has been performed among acute aortic dissection (AAD) Type A patients. OBJECTIVES: We a...
Autores principales: | Macrina, Francesco, Puddu, Paolo Emilio, Sciangula, Alfonso, Trigilia, Fausto, Totaro, Marco, Miraldi, Fabio, Toscano, Francesca, Cassese, Mauro, Toscano, Michele |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Bentham Open
2009
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2720513/ https://www.ncbi.nlm.nih.gov/pubmed/19657459 http://dx.doi.org/10.2174/1874192400903010081 |
Ejemplares similares
-
Long-term mortality prediction after operations for type A ascending aortic dissection
por: Macrina, Francesco, et al.
Publicado: (2010) -
3D morphometric analysis of ascending aorta as an adjunctive tool to predict type A acute aortic dissection
por: Saade, Wael, et al.
Publicado: (2021) -
Observed to expected or logistic regression to identify hospitals with high or low 30-day mortality?
por: Kristoffersen, Doris Tove, et al.
Publicado: (2018) -
Neural networks versus Logistic regression for 30 days all-cause readmission prediction
por: Allam, Ahmed, et al.
Publicado: (2019) -
Comparison of Artificial Neural Networks and Logistic Regression for 30-days Survival Prediction of Cancer Patients
por: Arkin, Funda Secik, et al.
Publicado: (2020)