Machine learning predicts risk in ACS

Nature Reviews Cardiology, Published online: 02 February 2021; doi:10.1038/s41569-021-00521-8A new machine learning risk-stratification model accurately predicts the 1-year risk of ischaemic and major bleeding events in patients with an acute coronary syndrome and might be useful to guide clinical decision-making and optimize the quality of care of these patients.
Source: Nature Reviews Cardiology - Category: Cardiology Authors: Source Type: research