Performance of artificial intelligence-based algorithms to predict prolonged length of stay after head and neck cancer surgery

BACKGROUND: Medical resource management can be improved by assessing the likelihood of prolonged length of stay (LOS) for head and neck cancer surgery patients. The objective of this study was to develop predictive models that could be used to determine whether a patient's LOS after cancer surg...

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Detalles Bibliográficos
Autores principales: Vollmer, Andreas, Nagler, Simon, Hörner, Marius, Hartmann, Stefan, Brands, Roman C., Breitenbücher, Niko, Straub, Anton, Kübler, Alexander, Vollmer, Michael, Gubik, Sebastian, Lang, Gernot, Wollborn, Jakob, Saravi, Babak
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10623164/
https://www.ncbi.nlm.nih.gov/pubmed/37928044
http://dx.doi.org/10.1016/j.heliyon.2023.e20752

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10623164/
https://www.ncbi.nlm.nih.gov/pubmed/37928044
http://dx.doi.org/10.1016/j.heliyon.2023.e20752

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