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

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
  5. Choi J, Lee H, Kim‐Godwin Y. Decoding machine learning in nursing research: A scoping review of effective algorithms. Journal of Nursing Scholarship 2024 View