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

Clinical Information and Decision Making (1765) Machine Learning (1897) Artificial Intelligence (1929) Clinical Informatics (1227) Cardiac Diagnostics (24) Myocardial Infarction (Heart Attack) (55)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/62890, first published .
Early Prediction of Cardiac Arrest in the Intensive Care Unit Using Explainable Machine Learning: Retrospective Study

Early Prediction of Cardiac Arrest in the Intensive Care Unit Using Explainable Machine Learning: Retrospective Study

Early Prediction of Cardiac Arrest in the Intensive Care Unit Using Explainable Machine Learning: Retrospective Study

Authors of this article:

Yun Kwan Kim1, 2 Author Orcid Image ;   Won-Doo Seo1 Author Orcid Image ;   Sun Jung Lee1 Author Orcid Image ;   Ja Hyung Koo1 Author Orcid Image ;   Gyung Chul Kim1 Author Orcid Image ;   Hee Seok Song1 Author Orcid Image ;   Minji Lee3 Author Orcid Image
Article Authors Cited by (8) Tweetations (1) Metrics
All Time | Last Month | Last Six Months | Last Year
Won-Doo Seo Won-Doo Seo @Wondoo_Seo

A little bit late to announce, our research about predict cardiac arrest using EMR has been published at JMIR in 24.09! My contribution of this work is proposing a new feature, preprocessing all data, making a env for research. Click link for more info; https://t.co/KEWMLJgzzF

3:18 AM · Nov 16, 2024

0
0