Using Social Determinants of Health Data in Machine Learning Reduced Bias
Published in Circulation: Heart Failure, a recent study conducted by Northwestern Medicine researchers found that adding social determinants of health (SDOH) data into machine learning models led to less bias when predicting outcomes for heart failure patients. Healthcare bias can lead to detrimental outcomes for patients. For example, in April, a study published in PLOS digital health found that digital health…