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

New in JMIR: Explainable artificial intelligence (#AI) Warning Model Using an Ensemble Approach for In-#Hospital Cardiac Arrest Prediction: Retrospective Cohort #Study https://t.co/YBKHg4S1Mi https://t.co/ugsX0kOAie

4:03 PM · Dec 22, 2023

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RT @jmirpub: New in JMIR: Explainable artificial intelligence (#AI) Warning Model Using an Ensemble Approach for In-#Hospital Cardiac Arres…

4:03 PM · Dec 22, 2023

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Explainable Artificial Intelligence Warning Model Using an Ensemble Approach for In-Hospital Cardiac Arrest Prediction: Retrospective Cohort Study https://t.co/aFDKaTHQeZ

8:39 PM · Dec 24, 2023

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Predicting cardiac arrest (CA) can reduce mortality for critically ill patients. In @jmirpub, researchers in S. Korea develop an #AI framework that more accurately predicts CA & reduces false alarm rates. This model could be a great way to manage ICU care: https://t.co/BvGWBb3vgU

7:30 PM · Feb 01, 2024

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RT @AllofUsCEO: Predicting cardiac arrest (CA) can reduce mortality for critically ill patients. In @jmirpub, researchers in S. Korea devel…

5:11 PM · Feb 02, 2024

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RT @AllofUsCEO: Predicting cardiac arrest (CA) can reduce mortality for critically ill patients. In @jmirpub, researchers in S. Korea devel…

8:39 PM · Feb 02, 2024

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