Name
Abstract | ||
|---|---|---|
The volume of biomedical literature has experienced explosive growth in recent years. This is reflected in the corresponding increase in the size of MEDLINE, the largest bibliographic database of biomedical citations. Indexers at the US National Library of Medicine (NLM) need efficient tools to help them accommodate the ensuing workload. After reviewing issues in the automatic assignment of Medical Subject Headings (MeSH terms) to biomedical text, we focus more specifically on the new subheading attachment feature for NLM's Medical Text Indexer (MTI). Natural Language Processing, statistical, and machine learning methods of producing automatic MeSH main heading/subheading pair recommendations were assessed independently and combined. The best combination achieves 48% precision and 30% recall. After validation by NLM indexers, a suitable combination of the methods presented in this paper was integrated into MTI as a subheading attachment feature producing MeSH indexing recommendations compliant with current state-of-the-art indexing practice. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1016/j.jbi.2008.12.007 | Journal of Biomedical Informatics |
Keywords | Field | DocType |
biomedical citation,medical text indexer,biomedical text,recent advance,subheading pair recommendation,artificial intelligence,mesh indexing recommendations compliant,∗medline,dictionaries,abstracting and indexing as topic/∗methods/statistics & numerical data,∗evaluation studies as topic,subheading attachment,nlm indexer,automatic indexing,medical subject headings,medical,natural language processing,biomedical literature,new subheading attachment feature,indexation,machine learning,subject headings,artificial intelligent | Data mining,Information retrieval,Bibliographic database,Workload,Indexer,Computer science,Search engine indexing,Natural language processing,Artificial intelligence,Automatic indexing,MEDLINE | Journal |
Volume | Issue | ISSN |
42 | 5 | 1532-0480 |
Citations | PageRank | References |
28 | 1.08 | 20 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Aurélie Névéol | 1 | 565 | 50.50 |
| Sonya E Shooshan | 2 | 141 | 13.18 |
| Susanne M. Humphrey | 3 | 561 | 63.27 |
| James G. Mork | 4 | 647 | 65.22 |
| Alan R. Aronson | 5 | 2551 | 260.67 |