Unveiling sub-populations in critical care settings: a real-world data approach in COVID-19.

Abstract

Authors

• Wesley Anderson
  Critical Path Institute, Tucson, AZ, United States.
• Ruth Gould
  Centers of Disease Control and Prevention, Atlanta, GA, United States.
• Namrata Patil
  Brigham and Women's Hospital, Boston, MA, United States.
• Nicholas Mohr
  University of Iowa Healthcare, Iowa City, IA, United States.
• Kenneth Dodd
  Advocate Aurora Health, Downers Grove, IL, United States.
• Danielle Boyce
  Center for Quantitative Methods and Data Science, Institute for Clinical Research and Health Policy Studies, Tufts University School of Medicine, Boston, MA, USA.
• Pam Dasher
  Critical Path Institute, Tucson, AZ, United States.
• Philippe J Guerin
  Infectious Diseases Data Observatory (IDDO), Oxford, United Kingdom.
• Reham Khan
  Society of Critical Care Medicine, Mount Prospect, IL, United States.
• Sreekanth Cheruku
  Department of Anesthesiology and Pain Management, University of Texas Southwestern, Dallas, TX, United States.
• Vishakha K Kumar
  Society of Critical Care Medicine, Mount Prospect, IL, United States.
• Ewy Mathé
  Department of Biomedical Informatics, The Ohio State University, Columbus, OH, 43210, USA.
• Aneesh K Mehta
  Department of Medicine, Emory University, Atlanta, GA, United States.
• Andrew P Michelson
  Institute for Informatics, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA.
• Andrew Williams
  Tufts Clinical and Translational Science Institute, Tufts Medical Center, Boston, Massachusetts, USA.
• Smith F Heavner
  Critical Path Institute, Tucson, AZ, United States.
• Jagdeep T Podichetty
  Quantitative Medicine, Critical Path Institute, Tucson, Arizona, USA.

Keywords

External Resources