Random Survival Forests for Predicting the Bed Occupancy in the Intensive Care Unit

Predicting the bed occupancy of an intensive care unit (ICU) is a daunting task. The uncertainty associated with the prognosis of critically ill patients and the random arrival of new patients can lead to capacity problems and the need for reactive measures. In this paper, we work towards a predicti...

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Detalles Bibliográficos
Autores principales: Ruyssinck, Joeri, van der Herten, Joachim, Houthooft, Rein, Ongenae, Femke, Couckuyt, Ivo, Gadeyne, Bram, Colpaert, Kirsten, Decruyenaere, Johan, De Turck, Filip, Dhaene, Tom
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5081505/
https://www.ncbi.nlm.nih.gov/pubmed/27818706
http://dx.doi.org/10.1155/2016/7087053

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5081505/
https://www.ncbi.nlm.nih.gov/pubmed/27818706
http://dx.doi.org/10.1155/2016/7087053

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