z-logo
open-access-imgOpen Access
Demonstration and Performance Evaluation of Two Novel Algorithms for Removing Artifacts From Automated Intraoperative Temperature Data Sets: Multicenter, Observational, Retrospective Study
Author(s) -
Amit Bardia,
Ranjit Deshpande,
George Michel,
David Yanez,
Feng Dai,
Nathan L. Pace,
Kevin M. Schuster,
Michael R. Mathis,
Sachin Kheterpal,
Robert B. Schonberger
Publication year - 2022
Publication title -
jmir perioperative medicine
Language(s) - English
Resource type - Journals
ISSN - 2561-9128
DOI - 10.2196/37174
Subject(s) - algorithm , artifact (error) , observational study , perioperative , medicine , sensitivity (control systems) , retrospective cohort study , confidence interval , computer science , surgery , artificial intelligence , engineering , electronic engineering

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom