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Journal article

The efficacy and effectiveness of machine learning for weaning in mechanically ventilated patients at the intensive care unit: a systematic review

Abstract:

Weaning from mechanical ventilation in the intensive care unit (ICU) is a complex clinical problem and relevant for future organ engineering. Prolonged mechanical ventilation (MV) leads to a range of medical complications that increases length of stay and costs as well as contributes to morbidity and even mortality and long-term quality of life. The need to reduce MV is both clinical and economical. Artificial intelligence or machine learning (ML) methods are promising opportunities to positi...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/s42242-018-0030-1

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
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Name:
Engineering and Physical Sciences Research Council
Grant:
EP/R511742/1
Publisher:
Springer
Journal:
Biodesign and Manufacturing More from this journal
Volume:
2
Issue:
1
Pages:
31–40
Publication date:
2018-12-18
Acceptance date:
2018-12-02
DOI:
EISSN:
2522-8552
ISSN:
2096-5524
Keywords:
Pubs id:
pubs:949239
UUID:
uuid:074621b7-0f31-4658-920d-a080140df070
Local pid:
pubs:949239
Source identifiers:
949239
Deposit date:
2018-12-02

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