Predicting outcomes in patients with perforated gastroduodenal ulcers: artificial neural network modelling indicates a highly complex disease

PURPOSE: Mortality prediction models for patients with perforated peptic ulcer (PPU) have not yielded consistent or highly accurate results. Given the complex nature of this disease, which has many non-linear associations with outcomes, we explored artificial neural networks (ANNs) to predict the co...

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Detalles Bibliográficos
Autores principales: Søreide, K., Thorsen, K., Søreide, J. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2014
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4298653/
https://www.ncbi.nlm.nih.gov/pubmed/25621078
http://dx.doi.org/10.1007/s00068-014-0417-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4298653/
https://www.ncbi.nlm.nih.gov/pubmed/25621078
http://dx.doi.org/10.1007/s00068-014-0417-4

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