Top
image credit: Freepik

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

November 9, 2020

Category:

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.

Read More on The Medical News