首页|Duke-National University of Singapore Medical School Reports Findings in Ventric ular Fibrillation (Machine learning prediction of refractory ventricular fibrill ation in out-of-hospital cardiac arrest using features available to EMS)
Duke-National University of Singapore Medical School Reports Findings in Ventric ular Fibrillation (Machine learning prediction of refractory ventricular fibrill ation in out-of-hospital cardiac arrest using features available to EMS)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Heart Disorders and Di seases - Ventricular Fibrillation is the subjectof a report. According to news reporting out of Singapore, Singapore, by NewsRx editors, research stated,“Shoc k-refractory ventricular fibrillation (VF) or ventricular tachycardia (VT) is a treatment challenge inout-of-hospital cardiac arrest (OHCA). This study aimed t o develop and validate machine learning modelsthat could be implemented by emer gency medical services (EMS) to predict refractory VF/VT in OHCApatients.”
SingaporeSingaporeAsiaCardiac Arre stCardiac ArrhythmiasCardiologyCardiovascularCyborgsEmerging Technolog iesHealth and MedicineHeart AttackHeart DiseaseHeart Disorders and Disea sesHospitalsMachine LearningVentricular Fi
NETL
NSTL
