A machine learning–based risk prediction model for atrial fibrillation in critically ill patients
Background: Atrial fibrillation (AF) in critically ill patients increases morbidity, hospital stays, and costs. Existing prediction tools are limited in intensive care unit (ICU) settings. Objective: This study developed a machine learning–based model to enable early AF risk identification and preve...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-05-01
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| Series: | Heart Rhythm O2 |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S266650182500073X |
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