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

Formative Evaluation of Digital Health Interventions (2353) Artificial Intelligence (1328) Machine Learning (1434) Clinical Informatics (989) Clinical Information and Decision Making (1374)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44763, first published .
Machine Learning Algorithms Predict Successful Weaning From Mechanical Ventilation Before Intubation: Retrospective Analysis From the Medical Information Mart for Intensive Care IV Database

Machine Learning Algorithms Predict Successful Weaning From Mechanical Ventilation Before Intubation: Retrospective Analysis From the Medical Information Mart for Intensive Care IV Database

Machine Learning Algorithms Predict Successful Weaning From Mechanical Ventilation Before Intubation: Retrospective Analysis From the Medical Information Mart for Intensive Care IV Database

Authors of this article:

Jinchul Kim1 Author Orcid Image ;   Yun Kwan Kim2 Author Orcid Image ;   Hyeyeon Kim3 Author Orcid Image ;   Hyojung Jung4 Author Orcid Image ;   Soonjeong Koh5 Author Orcid Image ;   Yujeong Kim6 Author Orcid Image ;   Dukyong Yoon6 Author Orcid Image ;   Hahn Yi7 Author Orcid Image ;   Hyung-Jun Kim8, 9 Author Orcid Image
Article Authors Cited by (2) Tweetations (3) Metrics

Journals

  1. Stivi T, Padawer D, Dirini N, Nachshon A, Batzofin B, Ledot S. Using Artificial Intelligence to Predict Mechanical Ventilation Weaning Success in Patients with Respiratory Failure, Including Those with Acute Respiratory Distress Syndrome. Journal of Clinical Medicine 2024;13(5):1505 View
  2. Zhang Y. Guest Editorial Introduction to the Special Section on Weakly-Supervised Deep Learning and Its Applications. IEEE Open Journal of Engineering in Medicine and Biology 2024;5:393 View