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Literature DB >> 7889741

MENELAS: an access system for medical records using natural language.

Abstract

The overall goal of MENELAS is to provide better access to the information contained in natural language patient discharge summaries, through the design and implementation of a pilot system able to access medical reports through natural languages. A first, experimental version of the MENELAS indexing prototype for French has been assembled. Its function is to encode free text PDSs into both an internal representation and ICD-9-CM nomenclature codes. A preliminary evaluation shows the potential for reasonable coverage and precision. The MENELAS prototype will be enhanced and extended into a pilot system which will be tested in two hospital sites.

Entities: Species

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Year: 1994 PMID： 7889741 DOI： 10.1016/0169-2607(94)90029-9

Source DB: PubMed Journal: Comput Methods Programs Biomed ISSN： 0169-2607 Impact factor: 5.428

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Cited

13 in total

1. Classification algorithms applied to narrative reports.

Authors: A Wilcox; G Hripcsak
Journal: Proc AMIA Symp Date: 1999

2. Issues in the design of medical ontologies used for knowledge sharing.

Authors: A Burgun; G Botti; M Fieschi; P Le Beux
Journal: J Med Syst Date: 2001-04 Impact factor: 4.460

3. A knowledge model for the interpretation and visualization of NLP-parsed discharged summaries.

Authors: M Krauthammer; G Hripcsak
Journal: Proc AMIA Symp Date: 2001

4. An evaluation of natural language processing methodologies.

Authors: C Friedman; G Hripcsak; I Shablinsky
Journal: Proc AMIA Symp Date: 1998

5. Knowledge discovery and data mining to assist natural language understanding.

Authors: A Wilcox; G Hripcsak
Journal: Proc AMIA Symp Date: 1998

6. UMLS-based conceptual queries to biomedical information databases: an overview of the project ARIANE. Unified Medical Language System.

Authors: M Joubert; M Fieschi; J J Robert; F Volot; D Fieschi
Journal: J Am Med Inform Assoc Date: 1998 Jan-Feb Impact factor: 4.497

MENELAS: an access system for medical records using natural language.

1. Classification algorithms applied to narrative reports.

2. Issues in the design of medical ontologies used for knowledge sharing.

3. A knowledge model for the interpretation and visualization of NLP-parsed discharged summaries.

4. An evaluation of natural language processing methodologies.

5. Knowledge discovery and data mining to assist natural language understanding.

6. UMLS-based conceptual queries to biomedical information databases: an overview of the project ARIANE. Unified Medical Language System.

7. Towards a comprehensive medical language processing system: methods and issues.

8. Evaluating a normalized conceptual representation produced from natural language patient discharge summaries.

9. Corpus-based identification and refinement of semantic classes.

10. Analysis of medical texts based on a sound medical model.