Machine learning helps predict survival rates of out-of-hospital cardiac arrest

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.