Work

Medical facts to support inferencing in natural language processing.

Year: 2005

Type: conference-paper

Abstract: We report on the use of medical facts to support the enhancement of natural language processing of biomedical text. Inferencing in semantic interpretation depends on a fact repository as well as an ontology. We used statistical methods to construct a repository of drug-disorder co-occurrences from a large collection of clinical notes, and this resource is used to validate inferences automatically drawn during semantic interpretation of Medline citations about pharmacologic interventions for disease. We evaluated the results against a published reference standard for treatment of diseases.

Source: PubMed

Authors: Thomas C Rindflesch, Serguei V Pakhomov, Marcelo Fiszman, Halil Kilicoglu, Vincent R Sanchez

Institutions: United States National Library of Medicine, National Institutes of Health

Language: English

Topic: Biomedical Text Mining and Ontologies

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

OpenAlex ID: W238734946

FWCI: 4.067

Cites: 17

Cited by: 19

Related to: 20