Johns Hopkins Researchers to Use Machine Learning to Predict Heart Damage in COVID-19 Victims
May 19, 2020
May 19, 2020
BALTIMORE, Maryland, May 19 -- Johns Hopkins University issued the following news release:
Johns Hopkins researchers recently received a $195,000 Rapid Response Research grant from the National Science Foundation to, using machine learning, identify which COVID-19 patients are at risk of adverse cardiac events such as heart failure, sustained abnormal heartbeats, heart attacks, cardiogenic shock and death.
Increasing evidence of COVID-19's negative impacts on the cardio . . .
Johns Hopkins researchers recently received a $195,000 Rapid Response Research grant from the National Science Foundation to, using machine learning, identify which COVID-19 patients are at risk of adverse cardiac events such as heart failure, sustained abnormal heartbeats, heart attacks, cardiogenic shock and death.
Increasing evidence of COVID-19's negative impacts on the cardio . . .