List1

• Post-processing involves cleaning up the final recommendation list by removing any terms that survived the filtering process but are invalid for the target audience, filling out the list of terms by adding CTs, Geographicals, and other MHs based on the text, a machine learning algorithm, and lookup lists, and then finally attaching subheadings to the individual MHs and creating a global list of subheadings applicable to the text. (nih.gov)