Prediction of Adverse Events in Single Ventricle Physiology Infants Using Artificial Intelligence Tools
BACKGROUND:. Adverse events (AEs) within the cardiac ICU (CICU) are associated with high mortality and comorbidity. Patients with single ventricle (SV) physiology are particularly vulnerable to experiencing such events before second stage surgery (bidirectional Glenn). Timely identification and mana...
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| Principais autores: | , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Wolters Kluwer
2026-02-01
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| Colecção: | Critical Care Explorations |
| Acesso em linha: | http://journals.lww.com/10.1097/CCE.0000000000001381 |
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