https://www.selleckchem.com/pr....oducts/pf-05221304.h
The baseline model retrained with new data had precision= 0.83 and recall= 0.54; none significantly different from baseline. A new RF model trained with augmented data had significantly better recall versus the baseline model (0.80 versus 0.66, P= .04) and comparable precision (0.90 versus 0.86). ML methods for monitoring follow-up recommendations in radiology reports suffer model drift over time. A newly developed RF model achieved better recall with comparable precision versus simply retraining a previously trained original model
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