Published on in Vol 9, No 9 (2021): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/31311, first published .
Short-Term Event Prediction in the Operating Room (STEP-OP) of Five-Minute Intraoperative Hypotension Using Hybrid Deep Learning: Retrospective Observational Study and Model Development

Short-Term Event Prediction in the Operating Room (STEP-OP) of Five-Minute Intraoperative Hypotension Using Hybrid Deep Learning: Retrospective Observational Study and Model Development

Short-Term Event Prediction in the Operating Room (STEP-OP) of Five-Minute Intraoperative Hypotension Using Hybrid Deep Learning: Retrospective Observational Study and Model Development

Journals

  1. Pinsky M, Cecconi M, Chew M, De Backer D, Douglas I, Edwards M, Hamzaoui O, Hernandez G, Martin G, Monnet X, Saugel B, Scheeren T, Teboul J, Vincent J. Effective hemodynamic monitoring. Critical Care 2022;26(1) View
  2. Davoud S, Kovacheva V. On the Horizon: Specific Applications of Automation and Artificial Intelligence in Anesthesiology. Current Anesthesiology Reports 2023;13(2):31 View
  3. Ripollés-Melchor J, Ruiz-Escobar A, Fernández-Valdes-Bango P, Lorente J, Jiménez-López I, Abad-Gurumeta A, Carrasco-Sánchez L, Monge-García M. Hypotension prediction index: From reactive to predictive hemodynamic management, the key to maintaining hemodynamic stability. Frontiers in Anesthesiology 2023;2 View
  4. Shi M, Zheng Y, Wu Y, Ren Q. Multitask Attention-Based Neural Network for Intraoperative Hypotension Prediction. Bioengineering 2023;10(9):1026 View