Machine learning prediction model for postoperative outcome after perforated appendicitis

PURPOSE: Appendectomy for acute appendicitis is one of the most common operative procedures worldwide in both children and adults. In particular, complicated (perforated) cases show high variability in individual outcomes. Here, we developed and validated a machine learning prediction model for post...

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Detalles Bibliográficos
Autores principales: Eickhoff, Roman M., Bulla, Alwin, Eickhoff, Simon B., Heise, Daniel, Helmedag, Marius, Kroh, Andreas, Schmitz, Sophia M., Klink, Christian D., Neumann, Ulf P., Lambertz, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8933368/
https://www.ncbi.nlm.nih.gov/pubmed/35169871
http://dx.doi.org/10.1007/s00423-022-02456-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8933368/
https://www.ncbi.nlm.nih.gov/pubmed/35169871
http://dx.doi.org/10.1007/s00423-022-02456-1

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