Machine learning for cardiovascular disease improves when social, environmental factors are included

(New York University) Machine learning can accurately predict cardiovascular disease and guide treatment–but models that incorporate social determinants of health better capture risk and outcomes for diverse groups, finds a new study by researchers at New York University’s School of Global Public Health and Tandon School of Engineering.

​(New York University) Machine learning can accurately predict cardiovascular disease and guide treatment–but models that incorporate social determinants of health better capture risk and outcomes for diverse groups, finds a new study by researchers at New York University’s School of Global Public Health and Tandon School of Engineering.