Weather data could warn of cardiac arrest risk several days in advance (IMAGE)
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“By combining meteorological and ambulance service data, the model could predict one to three days in advance when the number of out-of-hospital cardiac arrests is likely to rise above average. It does not estimate an individual’s risk, but rather the number of cases expected nationwide,” said Dr. Ádám Pál-Jakab, resident physician and PhD student at the Heart and Vascular Center of Semmelweis University and first author of the study.
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Photo: Bálint Barta/Semmelweis University, Budapest, Hungary
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