Machine learning improves searches in world's largest biomedical literature database
Tuesday, August 28, 2018 - 13:30
in Mathematics & Economics
Results sorted by relevance, instead of date, provide an improved experience for users of PubMed, the world's largest biomedical literature database, according to a study publishing August 28 in the open access journal PLOS Biology by Zhiyong Lu and colleagues at the National Library of Medicine (NLM)/National Center for Biotechnology Information (NCBI), which develops and maintains PubMed.