Artificial neural networks improve early outcome prediction and risk classification in out-of-hospital cardiac arrest patients admitted to intensive care

Ähnliche Einträge

• Predicting neurological outcome after out-of-hospital cardiac arrest with cumulative information; development and internal validation of an artificial neural network algorithm
  von: Andersson, Peder, et al.
  Veröffentlicht: (2021)
• Associations between partial pressure of oxygen and neurological outcome in out-of-hospital cardiac arrest patients: an explorative analysis of a randomized trial
  von: Ebner, Florian, et al.
  Veröffentlicht: (2019)
• Carbon dioxide dynamics in relation to neurological outcome in resuscitated out-of-hospital cardiac arrest patients: an exploratory Target Temperature Management Trial substudy
  von: Ebner, Florian, et al.
  Veröffentlicht: (2018)
• Cognitive function after cardiac arrest and temperature management; rationale and description of a sub-study in the Target Temperature Management trial
  von: Lilja, Gisela, et al.
  Veröffentlicht: (2013)
• Detailed statistical analysis plan for the target temperature management after out-of-hospital cardiac arrest trial
  von: Nielsen, Niklas, et al.
  Veröffentlicht: (2013)