Literature DB >> 10104531

The Unified Medical Language System (UMLS) of the National Library of Medicine.

C Lindberg.   

Abstract

This article describes the rationale for a Unified Medical Language System (UMLS) being developed by the National Library of Medicine and relates the usefulness of the System for medical record practitioners.

Mesh:

Year:  1990        PMID: 10104531

Source DB:  PubMed          Journal:  J Am Med Rec Assoc        ISSN: 0273-9976


  32 in total

1.  Bioinformatics and medical informatics: collaborations on the road to genomic medicine?

Authors:  Victor Maojo; Casimir A Kulikowski
Journal:  J Am Med Inform Assoc       Date:  2003-08-04       Impact factor: 4.497

2.  Textractor: a hybrid system for medications and reason for their prescription extraction from clinical text documents.

Authors:  Stéphane M Meystre; Julien Thibault; Shuying Shen; John F Hurdle; Brett R South
Journal:  J Am Med Inform Assoc       Date:  2010 Sep-Oct       Impact factor: 4.497

3.  Visualizing information across multidimensional post-genomic structured and textual databases.

Authors:  Ying Tao; Carol Friedman; Yves A Lussier
Journal:  Bioinformatics       Date:  2004-12-14       Impact factor: 6.937

4.  PhenoGO: assigning phenotypic context to gene ontology annotations with natural language processing.

Authors:  Yves Lussier; Tara Borlawsky; Daniel Rappaport; Yang Liu; Carol Friedman
Journal:  Pac Symp Biocomput       Date:  2006

5.  A knowledge-anchored integrative image search and retrieval system.

Authors:  Selnur Erdal; Umit V Catalyurek; Philip R O Payne; Joel Saltz; Jyoti Kamal; Metin N Gurcan
Journal:  J Digit Imaging       Date:  2007-11-27       Impact factor: 4.056

6.  Application of clinical text data for phenome-wide association studies (PheWASs).

Authors:  Scott J Hebbring; Majid Rastegar-Mojarad; Zhan Ye; John Mayer; Crystal Jacobson; Simon Lin
Journal:  Bioinformatics       Date:  2015-02-04       Impact factor: 6.937

7.  Analysis of the process of representing clinical statements for decision-support applications: a comparison of openEHR archetypes and HL7 virtual medical record.

Authors:  A González-Ferrer; M Peleg; M Marcos; J A Maldonado
Journal:  J Med Syst       Date:  2016-05-21       Impact factor: 4.460

8.  Natural language processing accurately categorizes findings from colonoscopy and pathology reports.

Authors:  Timothy D Imler; Justin Morea; Charles Kahi; Thomas F Imperiale
Journal:  Clin Gastroenterol Hepatol       Date:  2013-01-11       Impact factor: 11.382

9.  Ranking relations between diseases, drugs and genes for a curation task.

Authors:  Simon Clematide; Fabio Rinaldi
Journal:  J Biomed Semantics       Date:  2012-10-05

10.  Multi-label literature classification based on the Gene Ontology graph.

Authors:  Bo Jin; Brian Muller; Chengxiang Zhai; Xinghua Lu
Journal:  BMC Bioinformatics       Date:  2008-12-08       Impact factor: 3.169

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.