JOURNAL ARTICLE

Context-Sensitive Medical Information Retrieval

Mordechai AuerbuchTom H. KarsonBenjamin Ben-AmiOded MaimonLior Rokach

Year: 2004 Journal:   Studies in health technology and informatics Vol: 107 (Pt 1)Pages: 282-6   Publisher: IOS Press

Abstract

Substantial medical data such as pathology reports, operative reports, discharge summaries, and radiology reports are stored in textual form. Databases containing free-text medical narratives often need to be searched to find relevant information for clinical and research purposes. Terms that appear in these documents tend to appear in different contexts. The context of negation, a negative finding, is of special importance, since many of the most frequently described findings are those denied by the patient or subsequently “ruled out.” Hence, when searching free-text narratives for patients with a certain medical condition, if negation is not taken into account, many of the retrieved documents will be irrelevant.

Keywords:
Computer science Context (archaeology) Medical information Information retrieval Data science History

Metrics

63
Cited By
5.88
FWCI (Field Weighted Citation Impact)
13
Refs
0.91
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Biomedical Text Mining and Ontologies
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Molecular Biology
Artificial Intelligence in Healthcare
Health Sciences →  Health Professions →  Health Information Management
Semantic Web and Ontologies
Physical Sciences →  Computer Science →  Artificial Intelligence

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