Related Experiment Video
Updated: Aug 22, 2026

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
Published on: February 23, 2019
The NLM Indexing Initiative's Medical Text Indexer
Alan R Aronson1, James G Mork, Clifford W Gay
1National Library of Medicine, Building 38A, MS 54 8600 Rockville Pike, Bethesda, MD 20894, USA. alan@lhc.nlm.nih.gov
Abstract:
The Medical Text Indexer (MTI) is a program for producing MeSH indexing recommendations. It is the major product of NLM's Indexing Initiative and has been used in both semi-automated and fully automated indexing environments at the Library since mid 2002. We report here on an experiment conducted with MEDLINE indexers to evaluate MTI's performance and to generate ideas for its improvement as a tool for user-assisted indexing. We also discuss some filtering techniques developed to improve MTI's accuracy for use primarily in automatically producing the indexing for several abstracts collections.
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