Machine learning for cardiovascular disease improves when social and environmental factors are included
Credit: public domain CC0 Machine learning can accurately predict cardiovascular disease and guide treatment, but models that incorporate the social determinants of health can better capture risks and outcomes for diverse groups, according to a new study by researchers from the School of Global Public Health and the Tandon SchoolRead More →