| Knowledge4COVID-19

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?:authorAffiliation	[\'VA Connecticut Healthcare System, US Department of Veterans Affairs, West Haven, Connecticut, USA joseph.king@yale.edu.\', \'Department of Neurosurgery, Yale School of Medicine, New Haven, Connecticut, USA.\', \'Yale School of Medicine, New Haven, Connecticut, USA.\', \'CareJourney, Arlington, Virginia, USA.\', \'Emergency Medicine, Weill Cornell Medicine, New York, New York, USA.\', \'MDCalc.com, New York, New York, USA.\', \'Emergency Medicine, Kaiser Permanente, Oakland, California, USA.\', \'VA Connecticut Healthcare System, US Department of Veterans Affairs, West Haven, Connecticut, USA.\', \'Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK.\', \'Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA.\', \'Yale New Haven Health System, New Haven, Connecticut, USA.\', \'Joint Data Analytics Team, Yale Center for Clinical Investigation, New Haven, Connecticut, USA.\']
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?:doi	10.1136/jech-2021-216697
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?:journal	Journal of epidemiology and community health
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?:title	Accuracy of the Veterans Health Administration COVID-19 (VACO) Index for predicting short-term mortality among 1307 US academic medical centre inpatients and 427 224 US Medicare patients.
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?:year	2022

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Accuracy of the Veterans Health Administration COVID-19 (VACO) Index for predicting short-term mortality among 1307 US academic medical centre inpatients and 427 224 US Medicare patients.

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2022

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