Time and weather data used to predict out-of-hospital cardiac arrest risk

Scientists say they have found a way to make artificial intelligence accurately predict the risk of an out-of-hospital cardiac arrest using time and weather data to identify patterns.

Scientists say they have found a way to make artificial intelligence accurately predict the risk of an out-of-hospital cardiac arrest using time and weather data to identify patterns.

The system crunched information such as temperature, relative humidity and rainfall, alongside various timings, ranging from the season to the hour of the day, which could be used to warn people early and increase chances of survival.