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Concurrent prediction of in-hospital mortality and length of stay using single-task, multi-class, and multi-task machine learning

Wei, Jia; Gay, Jo; Brent, Andrew J; Clifton, David A; Walker, A Sarah; Eyre, David W; (2025) Concurrent prediction of in-hospital mortality and length of stay using single-task, multi-class, and multi-task machine learning. BMJ Digital Health & AI (In press).

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Type: Article
Title: Concurrent prediction of in-hospital mortality and length of stay using single-task, multi-class, and multi-task machine learning
Publisher version: https://bmjdigitalhealth.bmj.com/
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 Population Health Sciences > Inst of Clinical Trials and Methodology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Inst of Clinical Trials and Methodology > MRC Clinical Trials Unit at UCL
URI: https://discovery.ucl.ac.uk/id/eprint/10218093
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