Before revision:  Finally, we demonstrate that machine learning classifiers accurately predict patients likely to be administered DDI given their history of prescribed drugs, gender , and age (MCC=.7, AUC=.97). These results demonstrate that accurate warning systems for known DDI can be devised for health-care systems leading to substantial reduction of DDI-related adverse reactions and health-care savings .
After revision:  These results demonstrate that considerable gender and age biases exist, but that accurate warning systems for known DDI can be devised for health-care systems leading to substantial reduction of DDI-related adverse reactions and health-care savings .