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Machine learning in patient flow: a review

Abstract:

This work is a review of the ways in which machine learning has been used in order to plan, improve or aid the problem of moving patients through healthcare services. We decompose the patient flow problem into four subcategories: prediction of demand on a healthcare institution, prediction of the demand and resource required to transfer patients from the emergency department to the hospital, prediction of potential resource required for the treatment and movement of inpatients and prediction ...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1088/2516-1091/abddc5

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Institution:
University of Oxford
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
ORCID:
0000-0001-5664-5009
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
ORCID:
0000-0003-0621-1522
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
ORCID:
0000-0002-1552-5630
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
Publisher:
IOP Publishing
Journal:
Progress in Biomedical Engineering More from this journal
Volume:
3
Issue:
2
Article number:
022002
Publication date:
2021-01-20
Acceptance date:
2021-01-20
DOI:
EISSN:
2516-1091
Language:
English
Keywords:
Pubs id:
1160026
Local pid:
pubs:1160026
Deposit date:
2021-02-04

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