Biomedical Citation Selector (BmCS)
Description
Time-consuming human review of individual journal articles from multidisciplinary journals to determine inclusion in MEDLINE.
Detailed example
Sets of citation records that are classified as relevant to biomedicine and the life sciences.
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
More efficient and effective indexing and inclusion of relevant journal articles, standardization of citation record selection, and reduced processing time
Controls / human review
ATO: No; PIA: Not published
Data needed
PubMed citation data that was submitted by publishers and stored in the agency database was used.