Machine learning improves searches in world’s largest biomedical literature database

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.