Machine learning algorithms help predict out-of-hospital cardiac arrest survival

machine learning algorithms help predict out of hospital cardiac arrest survival

Sumary of Machine learning algorithms help predict out-of-hospital cardiac arrest survival:

  • Reviewed by Emily Henderson, B.Sc.Nov 9 2020 Using neighborhood and local data in combination with existing information sources creates a more accurate prediction on a patient’s recovery prospects after an out-of-hospital cardiac arrest (OHCA), according to preliminary research to be presented at the American Heart Association’s Resuscitation Science Symposium 2020..
  • The 2020 meeting will be held virtually, November 14-16, and will feature the most recent advances related to treating cardiopulmonary arrest and life-threatening traumatic injury..
  • Researchers used OHCA information from the existing Cardiac Arrest Registry to Enhance Survival (CARES) database to identify incidents that happened outside of a health care system or a nursing home facility around the Chicago area….

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