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

Clinical Information and Decision Making (1407) Clinical Informatics (1022) Decision Support for Health Professionals (1185) Machine Learning (1465) Artificial Intelligence (1371) Cardiology (159) Cardiac Disease Management (94)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48244, first published .
Explainable Artificial Intelligence Warning Model Using an Ensemble Approach for In-Hospital Cardiac Arrest Prediction: Retrospective Cohort Study

Explainable Artificial Intelligence Warning Model Using an Ensemble Approach for In-Hospital Cardiac Arrest Prediction: Retrospective Cohort Study

Explainable Artificial Intelligence Warning Model Using an Ensemble Approach for In-Hospital Cardiac Arrest Prediction: Retrospective Cohort Study

Authors of this article:

Yun Kwan Kim1, 2 Author Orcid Image ;   Ja Hyung Koo1 Author Orcid Image ;   Sun Jung Lee1 Author Orcid Image ;   Hee Seok Song1 Author Orcid Image ;   Minji Lee3 Author Orcid Image
Article Authors Cited by (4) Tweetations (6) Metrics

Journals

  1. Bekbolatova M, Mayer J, Ong C, Toma M. Transformative Potential of AI in Healthcare: Definitions, Applications, and Navigating the Ethical Landscape and Public Perspectives. Healthcare 2024;12(2):125 View
  2. Jeong J, Kang T, Ju H, Cho C. Novel approach exploring the correlation between presepsin and routine laboratory parameters using explainable artificial intelligence. Heliyon 2024;10(13):e33826 View
  3. Kim Y, Seo W, Lee S, Koo J, Kim G, Song H, Lee M. Early Prediction of Cardiac Arrest in the Intensive Care Unit Using Explainable Machine Learning: Retrospective Study. Journal of Medical Internet Research 2024;26:e62890 View
  4. Saarela M, Podgorelec V. Recent Applications of Explainable AI (XAI): A Systematic Literature Review. Applied Sciences 2024;14(19):8884 View