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

Journal: BMJ open

Published Date: Mar 7, 2019

OBJECTIVE: The primary objective is to develop an automated method for detecting patients that are ready for discharge from intensive care.

Christopher J McWilliams

Engineering Mathematics, University of Bristol, Bristol, UK.
Daniel J Lawson

Integrative Epidemiology Unit, Population Health Sciences, University of Bristol, Bristol, UK.
Raul Santos-Rodriguez

Engineering Mathematics, University of Bristol, Bristol, UK.
Iain D Gilchrist

Department of Experimental Psychology, University of Bristol, Bristol, UK.
Alan Champneys

Engineering Mathematics, University of Bristol, Bristol, UK.
Timothy H Gould

Intensive Care Unit, University Hospitals Bristol NHS Foundation Trust, Bristol, UK.
Mathew Jc Thomas

Intensive Care Unit, University Hospitals Bristol NHS Foundation Trust, Bristol, UK.
Christopher P Bourdeaux

Intensive Care Unit, University Hospitals Bristol NHS Foundation Trust, Bristol, UK.

Algorithms Critical Care Decision Support Techniques Electronic Health Records England Female Humans Length of Stay Machine Learning Male Patient Discharge Patient Readmission

View on PubMed Access via DOI PubMed (30850412)