title: How accurate are the different predictive models in identifying deteriorating patients? The ViEWS may not be as clear as we first thought*.
authors.affiliation: Simpson Centre for Health Services Research Australian Institute of Health Innovation and South Western Clinical School University of New South Wales Sydney, Australia.
authors.forename: Jack
authors.initials: J
authors.lastname: Chen
authors.forename: Lixin
authors.initials: L
authors.lastname: Ou
authors.forename: Stephanie J
authors.initials: SJ
authors.lastname: Hollis
mesh_terms: D057286:Electronic Health Records / Q000706:statistics & numerical data*; D005260:Female; D006323:Heart Arrest / Q000453:epidemiology*; D006739:Hospital Administration / Q000706:statistics & numerical data*; D057209:Hospital Rapid Response Team / Q000706:statistics & numerical data*; D006801:Humans; D008297:Male