Can machine learning-based prediction of complications after paediatric cardiac surgery improve patient outcomes?. (26th March 2020)

Record Type:: Journal Article
Title:: Can machine learning-based prediction of complications after paediatric cardiac surgery improve patient outcomes?. (26th March 2020)
Main Title:: Can machine learning-based prediction of complications after paediatric cardiac surgery improve patient outcomes?
Authors:: Kim, Won Ho
Ji, Sang-Hwan
Jang, Young-Eun
Abstract:
Is Part Of:: European journal of cardio-thoracic surgery. Volume 58:Number 2(2020)
Journal:: European journal of cardio-thoracic surgery
Issue:: Volume 58:Number 2(2020)
Issue Display:: Volume 58, Issue 2 (2020)
Year:: 2020
Volume:: 58
Issue:: 2
Issue Sort Value:: 2020-0058-0002-0000
Page Start:: 400
Page End:: 400
Publication Date:: 2020-03-26
Subjects:: Paediatric cardiac surgery -- Complication prediction -- Machine learning
Heart -- Surgery -- Periodicals
Chest -- Surgery -- Periodicals
617.54
Journal URLs:: http://ejcts.oxfordjournals.org/ ↗
http://www.sciencedirect.com/science/journal/10107940 ↗
http://ukcatalogue.oup.com/ ↗
DOI:: 10.1093/ejcts/ezaa086 ↗
Languages:: English
ISSNs:: 1010-7940
Deposit Type:: Legaldeposit
View Content:: Available online (eLD content is only available in our Reading Rooms) ↗
Physical Locations:: British Library DSC - 3829.725620
British Library DSC - BLDSS-3PM
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Ingest File:: 15088.xml