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The Capital Region of Denmark - a part of Copenhagen University Hospital
Published

Reply letter to “Machine learning as a supportive tool to recognize cardiac arrest in emergency calls”

Research output: Contribution to journalLetterResearch

  1. Out-of-Hospital Cardiac Arrest in Patients With Psychiatric Disorders - Characteristics and Outcomes

    Research output: Contribution to journalJournal articleResearchpeer-review

  2. Improving the cost-effectiveness of laypersons' paediatric basic life support skills training: A randomised non-inferiority study

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. Automated external defibrillator accessibility is crucial for bystander defibrillation and survival: A registry-based study

    Research output: Contribution to journalJournal articleResearchpeer-review

  4. Detailed analysis of health-related quality of life after out-of-hospital cardiac arrest

    Research output: Contribution to journalJournal articleResearchpeer-review

  1. Genome-wide association and Mendelian randomisation analysis provide insights into the pathogenesis of heart failure

    Research output: Contribution to journalJournal articleResearchpeer-review

  2. Socioeconomic position and one-year mortality risk among patients with heart failure: A nationwide register-based cohort study

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. Injury from electric scooters in Copenhagen: A retrospective cohort study

    Research output: Contribution to journalJournal articleResearchpeer-review

  4. Ischaemic heart disease, infection, and treatment of infection

    Research output: Contribution to journalJournal articleResearchpeer-review

  5. Dose-Response Association Between Level of Physical Activity and Mortality in Normal, Elevated, and High Blood Pressure

    Research output: Contribution to journalJournal articleResearchpeer-review

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Original languageEnglish
Article number144
JournalResuscitation
Volume144
Pages (from-to)205-206
Number of pages2
ISSN0300-9572
DOIs
Publication statusPublished - 1 Nov 2019

ID: 58376901