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A JDI (Journal Descriptor Indexing) tool has been developed at NLM that automatically categorizes biomedical text as input, returning a ranked list, with scores between 0-1, of either JDs (Journal Descriptors, corresponding to biomedical disciplines) or STs (UMLS Semantic Types). Possible applications include WSD (Word Sense Disambiguation) and retrieval(More)
1. Introduction The demand for natural language processing (NLP) in medicine has grown significantly in recent years. This growth is expected to increase rapidly due to the continuing adoption of electronic medical records (EMRs). Medical language processing (MLP) seeks to analyze linguistic patterns found not only in electronic medical records, but also in(More)
The SPECIALIST Lexicon has been distributed annually by the National Library of Medicine (NLM) since 1994. Lexical records are used for Part-of-Speech (POS) tagging, indexing, information retrieval, concept mapping, etc. in many Natural Language Processing (NLP) projects, such as Lexical Tools, MetaMap, SemRep, UMLS Metathesaurus, and ClinicalTrials.gov.(More)
It is always a challenge to present Web applications at a facility with no Internet connection. Traditional presentation methods such as transparencies or slides are inadequate for demonstrating dynamic Web applications. Currently, virtual-live demonstrations of Web applications are created with static HTML (Hypertext Markup Language) files. However,(More)
The purpose of this report is to discuss the value of ultrasonographic examination in the diagnosis and follow-up evaluation of vertebral artery dissection. We collected data on 8 patients with 11 pathologic vessels: 9 were affected intracranially and 6 were affected extracranially. Four vessels were affected in both intracranial and extracranial segments.(More)
Multiwords are vital to better precision and recall in NLP applications. The Lexical Systems Group (LSG) developed an effective approach to add multiwords to the SPECIALIST Lexicon from the MEDLINE n-gram set. This paper describes a frequency analysis on LexMultiwords (LMWs) and acronym expansions based on the word count (WC) in MEDLINE. Results show most(More)