Prediction of cardiac arrest in critically ill patients presenting to the emergency department using a machine learning score incorporating heart rate variability compared with the modified early warning score

Gelijkaardige items

• Poor performance of the modified early warning score for predicting mortality in critically ill patients presenting to an emergency department
  door: Ho, Le Onn, et al.
  Gepubliceerd in: (2013)
• Is bispectral index (BIS) monitoring in the emergency department helpful for prognostication during resuscitation of cardiac arrest patients?
  door: Chin Siah Lim, et al.
  Gepubliceerd in: (2016-09-01)
• Validation of the mortality in emergency department sepsis (MEDS) score in a Singaporean cohort
  door: Pong, Jeremy Zhenwen, et al.
  Gepubliceerd in: (2019)
• Prediction of adverse cardiac events in emergency department patients with chest pain using machine learning for variable selection
  door: Liu, Nan, et al.
  Gepubliceerd in: (2014)
• A novel cardiovascular risk stratification model incorporating ECG and heart rate variability for patients presenting to the emergency department with chest pain
  door: Heldeweg, Micah Liam Arthur, et al.
  Gepubliceerd in: (2016)