This paper is in the following e-collection/theme issue:

Artificial Intelligence in Surgery and Perioperative Medicine (24) Clinical Information and Decision Making (1340) Machine Learning (1401) Artificial Intelligence (1216) Decision Support for Health Professionals (1147) Safety and Error Prevention in Health (187) Tools, Programs and Algorithms (246) Sleep Apnea (23) Nursing (87) Nursing in a Hospital Setting (96)

Published on in Vol 4, No 2 (2021): Jul-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29200, first published .
Predicting Prolonged Apnea During Nurse-Administered Procedural Sedation: Machine Learning Study

Predicting Prolonged Apnea During Nurse-Administered Procedural Sedation: Machine Learning Study

Predicting Prolonged Apnea During Nurse-Administered Procedural Sedation: Machine Learning Study

Authors of this article:

Aaron Conway1, 2, 3 Author Orcid Image ;   Carla R Jungquist4 Author Orcid Image ;   Kristina Chang2 Author Orcid Image ;   Navpreet Kamboj1 Author Orcid Image ;   Joanna Sutherland5 Author Orcid Image ;   Sebastian Mafeld6 Author Orcid Image ;   Matteo Parotto7, 8, 9 Author Orcid Image
Article Authors Cited by (4) Tweetations (3) Metrics

Journals

  1. Gopukumar D, Ghoshal A, Zhao H. Predicting Readmission Charges Billed by Hospitals: Machine Learning Approach. JMIR Medical Informatics 2022;10(8):e37578 View
  2. Conway A, Goudarzi Rad M, Zhou W, Parotto M, Jungquist C. Deep learning classification of capnography waveforms: secondary analysis of the PRODIGY study. Journal of Clinical Monitoring and Computing 2023;37(5):1327 View
  3. Gheysen F, Rex S. Artificial intelligence in anesthesiology. Acta Anaesthesiologica Belgica 2023;74(3):185 View
  4. Conway A, Goudarzi Rad M, Chang K, Parotto M, Mafeld S. Integrated pulmonary index during procedural sedation and analgesia: A cluster‐randomized trial. Journal of Advanced Nursing 2024 View