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

ObjectiveThe primary objective is to develop an automated method for detecting patients that are ready for discharge from intensive care.DesignWe used two datasets of routinely collected patient data to test and improve on a set of previously proposed discharge criteria.SettingBristol Royal Infirmar...

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Bibliographic Details
Published in:	BMJ open Vol. 9; no. 3; p. e025925
Main Authors:	McWilliams, Christopher J, Lawson, Daniel J, Santos-Rodriguez, Raul, Gilchrist, Iain D, Champneys, Alan, Gould, Timothy H, Thomas, Mathew JC, Bourdeaux, Christopher P
Format:	Journal Article
Language:	English
Published:	England BMJ Publishing Group LTD 07.03.2019 BMJ Publishing Group
Subjects:	Algorithms Artificial intelligence Clinical decision making Collaboration Critical care Critical Care - organization & administration Decision making Decision support systems Decision Support Techniques Discharge Electronic Health Records England Female Health informatics Humans Intensive Care Length of Stay - statistics & numerical data Machine Learning Male Pain Patient Discharge Patient Readmission - statistics & numerical data Patients England United Kingdom > UK New York United States > US information technology health informatics cinical audit
ISSN:	2044-6055, 2044-6055
Online Access:	Get full text
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