Health IT Analytics November 9, 2020
In two separate studies, researchers used big data analytics tools and social determinants data to gain more insight into heart health risks.
To learn more about how socioeconomic factors impact heart health, researchers are increasingly leveraging big data analytics technologies and examining social determinants data at the individual and population level.
Researchers from the University of Illinois at Chicago recently developed a machine learning algorithm to accurately predict out-of-hospital cardiac arrest survival rates. The model uses neighborhood and local data in combination with existing information sources.
According to the American Heart Association, there are almost 424,000 EMS-assessed out-of-hospital cardiac arrests every year in the US, and most of them are fatal.
Researchers developed and tested the machine learning algorithms on...
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