Machine learning for the detection of clinical deterioration on hospital wards

Machine learning for the detection of clinical deterioration on hospital wards

<p>Assessment of physiological instability preceding adverse events on hospital wards has been previously investigated through clinical early warning score (EWS) systems. Such systems often rely on routinely collected vital-sign data, such as the National Early Warning Score system that is cur...

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Bibliografiske detaljer
Hovedforfatter:	Shamout, F
Andre forfattere:	Clifton, DA
Format:	Thesis
Sprog:	English
Udgivet:	2019
Fag:	health informatics biomedical engineering machine learning

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