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Your search keyword '"Christensen, Helle"' showing total 25 results

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25 results on '"Christensen, Helle"'

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1. Association of intraosseous and intravenous access with patient outcome in out-of-hospital cardiac arrest.

2. Ethical considerations in the prehospital treatment of out-of-hospital cardiac arrest: A multi-centre, qualitative study.

3. Traumatic cardiac arrest – a nationwide Danish study.

5. International initiation and termination of resuscitation practices: Protocol of a cross‐sectional survey.

6. The National Danish Cardiac Arrest Registry for Out-of-Hospital Cardiac Arrest – A Registry in Transformation.

7. Documentation of ethically relevant information in out-of-hospital resuscitation is rare: a Danish nationwide observational study of 16,495 out-of-hospital cardiac arrests.

8. On Assessing Trustworthy AI in Healthcare: Machine Learning as a Supportive Tool to Recognize Cardiac Arrest in Emergency Calls

10. Registered prodromal symptoms of out-of-hospital cardiac arrest among patients calling the medical helpline services.

13. Symptoms reported in calls to emergency medical services within 24 hours prior to out-of-hospital cardiac arrest.

14. Out-of-hospital cardiac arrest related to exercise in the general population: Incidence, survival and bystander response.

15. Socio-demographic characteristics of basic life support course participants in Denmark.

16. Foreign body airway obstruction resulting in out-of-hospital cardiac arrest in Denmark – Incidence, survival and interventions.

17. Rapid dispatch for out-of-hospital cardiac arrest is associated with improved survival.

18. Bystander interventions and survival following out-of-hospital cardiac arrest at Copenhagen International Airport.

19. In-Hospital vs. Out-of-Hospital Cardiac Arrest: Patient Characteristics and Survival.

20. Prodromal complaints and 30-day survival after emergency medical services-witnessed out-of-hospital cardiac arrest.

21. Machine learning as a supportive tool to recognize cardiac arrest in emergency calls.

22. AED applied, not recommending defibrillation – A validation study of the new variable AED in the Danish Cardiac Arrest Registry.

23. When the machine is wrong. Characteristics of true and false predictions of Out-of-Hospital Cardiac arrests in emergency calls using a machine-learning model.

24. Reply letter to "Machine learning as a supportive tool to recognize cardiac arrest in emergency calls".

25. Etiology of pediatric out of hospital cardiac arrest, a three-year Danish regional analysis.

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