Published on in Vol 5, No 1 (2022): Jan-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37174, first published .
Demonstration and Performance Evaluation of Two Novel Algorithms for Removing Artifacts From Automated Intraoperative Temperature Data Sets: Multicenter, Observational, Retrospective Study

Demonstration and Performance Evaluation of Two Novel Algorithms for Removing Artifacts From Automated Intraoperative Temperature Data Sets: Multicenter, Observational, Retrospective Study

Demonstration and Performance Evaluation of Two Novel Algorithms for Removing Artifacts From Automated Intraoperative Temperature Data Sets: Multicenter, Observational, Retrospective Study

Amit Bardia   1 , MPH, MBBS ;   Ranjit Deshpande   2 , MBBS ;   George Michel   2 , MS ;   David Yanez   2 , PhD ;   Feng Dai   2 , PhD ;   Nathan L Pace   3 , MStat, MD ;   Kevin Schuster   4 , MPH, MD ;   Michael R Mathis   5 , MD ;   Sachin Kheterpal   5 , MD ;   Robert B Schonberger   2 , MHS, MD

1 Department of Anesthesiology, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, United States

2 Department of Anesthesiology, Yale School of Medicine, New Haven, CT, United States

3 Department of Anesthesiology, University of Utah, Salt Lake City, UT, United States

4 Department of Surgery, Yale School of Medicine, New Haven, CT, United States

5 Department of Anesthesiology, University of Michigan School of Medicine, Ann Arbor, MI, United States

Corresponding Author:

  • Amit Bardia, MPH, MBBS
  • Department of Anesthesiology
  • Critical Care and Pain Medicine
  • Massachusetts General Hospital
  • 55 Fruit Street
  • Boston, MA, 02140
  • United States
  • Phone: 1 617 834 6918
  • Email: abardia@partners.org