Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49142, first published .
Prediction of In-Hospital Cardiac Arrest in the Intensive Care Unit: Machine Learning–Based Multimodal Approach

Prediction of In-Hospital Cardiac Arrest in the Intensive Care Unit: Machine Learning–Based Multimodal Approach

Prediction of In-Hospital Cardiac Arrest in the Intensive Care Unit: Machine Learning–Based Multimodal Approach

Journals

  1. Ni P, Zhang S, Hu W, Diao M. Application of multi-feature-based machine learning models to predict neurological outcomes of cardiac arrest. Resuscitation Plus 2024;20:100829 View
  2. Sang W, Ma J, Zhang X, Wu S, Pan C, Zheng J, Zheng W, Yuan Q, Zhang J, Ma J, Xu F. Early prediction cardiac arrest in intensive care units: the value of laboratory indicator trends. World Journal of Emergency Medicine 2025;16(1):67 View
  3. Kim S. Enhancing Clinical Cardiac Care: Predicting In-Hospital Cardiac Arrest With Machine Learning. Annals of Laboratory Medicine 2025;45(2):117 View
  4. Wang J, Hsu S, Sun J, Ko C, Huang C, Tsai C, Fu L. Internal and External Validation of a Deep Learning-Based Early Warning System of Cardiac Arrest with Variable-Length and Irregularly Measured Time Series Data. Journal of Healthcare Informatics Research 2025 View