Development and assessment of a machine learning tool for predicting emergency admission in Scotland

Development and assessment of a machine learning tool for predicting emergency admission in Scotland

Abstract Emergency admissions (EA), where a patient requires urgent in-hospital care, are a major challenge for healthcare systems. The development of risk prediction models can partly alleviate this problem by supporting primary care interventions and public health planning. Here, we introduce SPAR...

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Main Authors: James Liley, Gergo Bohner, Samuel R. Emerson, Bilal A. Mateen, Katie Borland, David Carr, Scott Heald, Samuel D. Oduro, Jill Ireland, Keith Moffat, Rachel Porteous, Stephen Riddell, Simon Rogers, Ioanna Thoma, Nathan Cunningham, Chris Holmes, Katrina Payne, Sebastian J. Vollmer, Catalina A. Vallejos, Louis J. M. Aslett
Format: Article
Language:English
Published: Nature Portfolio 2024-10-01
Series:npj Digital Medicine
Online Access:https://doi.org/10.1038/s41746-024-01250-1
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https://doi.org/10.1038/s41746-024-01250-1

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