Towards a decision support tool for intensive care discharge: machine learning algorithm development using electronic healthcare data from MIMIC-III and Bristol, UK

OBJECTIVE: The primary objective is to develop an automated method for detecting patients that are ready for discharge from intensive care. DESIGN: We used two datasets of routinely collected patient data to test and improve on a set of previously proposed discharge criteria. SETTING: Bristol Royal...

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Detalles Bibliográficos
Autores principales: McWilliams, Christopher J, Lawson, Daniel J, Santos-Rodriguez, Raul, Gilchrist, Iain D, Champneys, Alan, Gould, Timothy H, Thomas, Mathew JC, Bourdeaux, Christopher P
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Intensive Care
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6429919/
https://www.ncbi.nlm.nih.gov/pubmed/30850412
http://dx.doi.org/10.1136/bmjopen-2018-025925

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6429919/
https://www.ncbi.nlm.nih.gov/pubmed/30850412
http://dx.doi.org/10.1136/bmjopen-2018-025925

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