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  • [\'Hasso Plattner Institute of Digital Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA.\', \'Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.\', \'Mount Sinai Clinical Intelligence Center, Icahn School of Medicine at Mount Sinai, New York, New York, USA.\', \'Division of Data Driven and Digital Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.\', \'Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.\', \'Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.\', \'Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.\', \'Department of Anesthesiology, Perioperative and Pain Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.\', \'Department of Pathology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.\', \'Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, New York, USA.\', \'Department of Pharmacological Science, Icahn School of Medicine at Mount Sinai, New York, New York, USA.\']
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  • -1
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  • 10.1093/jamia/ocab252
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  • Journal of the American Medical Informatics Association : JAMIA
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  • 35092685
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  • 1.848
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  • Using sequence clustering to identify clinically relevant subphenotypes in patients with COVID-19 admitted to the intensive care unit.
?:type
?:year
  • 2022

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