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...
Hoofdauteur: | Shamout, F |
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Andere auteurs: | Clifton, DA |
Formaat: | Thesis |
Taal: | English |
Gepubliceerd in: |
2019
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Onderwerpen: |
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