Machine learning prediction of refractory ventricular fibrillation in out-of-hospital cardiac arrest using features available to EMS

• DOI: 10.1016/j.resplu.2024.100606
• Publication Date: 2024-03-18T21:37:26Z
• Authors: Rayhan Erlangga R...; Yohei Okada; Nur Shahidah; Dehan Hong; Yih Yng Ng; Michael Y.C. Chia; Han Nee Gan; Benjamin S.H. Leong; Desmond R. Mao; Wei Ming Ng; Nausheen Edwin Do...; Marcus Eng Hock Ong
• Keywords: Refractory (planetary science)

Shock-refractory ventricular fibrillation (VF) or tachycardia (VT) is a treatment challenge in out-of-hospital cardiac arrest (OHCA). This study aimed to develop and validate machine learning models that could be implemented by emergency medical services (EMS) predict refractory VF/VT OHCA patients.