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Journal ArticleDOI

Information Retrieval in Medicine: The SAPHIRE Experience

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TLDR
This article summarizes the evaluation studies that have been done with SAPHIRE, highlighting the lessons learned and laying out the challenges ahead to all medical information retrieval efforts.
Abstract
Information retrieval systems are being used increasingly in biomedical settings, but many problems still exist in indexing, retrieval, and evaluation. The SAPHIRE Project was undertaken to seek solutions for these problems. This article summarizes the evaluation studies that have been done with SAPHIRE, highlighting the lessons learned and laying out the challenges ahead to all medical information retrieval efforts. © 1995 John Wiley & Sons, Inc.

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Citations
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Journal ArticleDOI

Natural language processing in medicine: An overview.

TL;DR: An overview is given of natural language processing applications in medicine and the most important and known international projects and a more general discussion about the two fundamental approaches concerning medical language understanding is provided.
Journal ArticleDOI

Bridging the Vocabulary Gap between Health Seekers and Healthcare Knowledge

TL;DR: This paper presents a novel scheme to code the medical records by jointly utilizing local mining and global learning approaches, which are tightly linked and mutually reinforced.
Journal ArticleDOI

UMLS concept indexing for production databases: a feasibility study.

TL;DR: The error rate was too high for concept indexing to be the only production-mode means of preprocessing medical narrative, and considerable curation needs to be performed to define a UMLS subset that is suitable for concept matching.
Journal ArticleDOI

Negation recognition in medical narrative reports

TL;DR: A new pattern learning method is presented for automatic identification of negative context in clinical narratives reports and its advantages are accuracy improvement compared to other machine learning methods, and much faster than manual knowledge engineering techniques with matching accuracy.
References
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Proceedings ArticleDOI

OHSUMED: an interactive retrieval evaluation and new large test collection for research

TL;DR: A series of information retrieval experiments was carried out with a computer installed in a medical practice setting for relatively inexperienced physician end-users using a commercial MEDLINE product based on the vector space model, finding that these physicians searched just as effectively as more experienced searchers using Boolean searching.
Journal ArticleDOI

Developments in automatic text retrieval.

TL;DR: The text analysis problem is examined, and modern approaches leading to the identification and retrieval of selected text items in response to search requests are discussed.
Journal ArticleDOI

A re-examination of relevance: toward a dynamic, situational definition

TL;DR: This paper reviews literature over the last 30 years that presents various views of relevance as topical, user-oriented, multidimensional, cognitive, and dynamic to build a case for an approach to the problem of definition based on alternative assumptions.
Journal ArticleDOI

On the application of syntactic methodologies in automatic text analysis

TL;DR: Various linguistic approaches proposed for document analysis in information retrieval environments are summarized, including standard syntactic methods to generate complex content identifiers, and the use of semantic know-how obtained from machine-readable dictionaries, and from specially constructed knowledge bases.
Journal Article

Indexing consistency in MEDLINE.

TL;DR: To measure consistency in MEDLINE, 760 twice-indexed articles from 42 periodical issues were identified in the data base, and their indexing compared, and consistency, expressed as a percentage, was measured using Hooper's equation.
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