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  • [\'National Artificial Intelligence Institute at the Department of Veterans Affairs, US Department of Veterans Affairs, Washington, District of Columbia, USA christos.makridis@va.gov.\', \'Digital Economy Lab, Stanford University, Stanford University, Stanford, California, USA.\', \'Washington D.C. VA Medical Center, Department of Veterans Affairs, Washington, District of Columbia, USA.\', \'Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.\', \'National Artificial Intelligence Institute at the Department of Veterans Affairs, US Department of Veterans Affairs, Washington, District of Columbia, USA.\', \'Harvard Medical School, Boston, Massachusetts, USA.\']
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  • -1
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?:doi
  • e10031210.1136/bmjhci-2020-100312
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  • BMJ health & care informatics
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  • 34108143
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  • -1.0
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  • -1
is ?:relation_isRelatedTo_publication of
?:title
  • Designing COVID-19 mortality predictions to advance clinical outcomes: Evidence from the Department of Veterans Affairs.
?:type
?:year
  • 2021

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