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Man vs machine: how good are clinicians at predicting perioperative risk?

Wong, DJN; Sahni, A; Bedford, JR; Harris, SK; Moonesinghe, SR; (2018) Man vs machine: how good are clinicians at predicting perioperative risk? Presented at: BJA Research Forum, London, UK. Green open access

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Type: Conference item (Presentation)
Title: Man vs machine: how good are clinicians at predicting perioperative risk?
Event: BJA Research Forum
Location: London, UK
Dates: 30 - 31 May 2018
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.bja.2018.05.037
Publisher version: https://doi.org/10.1016/j.bja.2018.05.037
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Surgery and Interventional Sci
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Surgery and Interventional Sci > Department of Targeted Intervention
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health > Applied Health Research
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10054290
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