Literature DB >> 27668467

The Unified Medical Language System.

D A B Lindberg, B L Humphreys, A T McCray.   

Abstract

In 1986, the National Library of Medicine began a long-term research and development project to build the Unified Medical Language System® (UMLS®). The purpose of the UMLS is to improve the ability of computer programs to "understand" the biomedical meaning in user inquiries and to use this understanding to retrieve and integrate relevant machine-readable information for users. Underlying the UMLS effort is the assumption that timely access to accurate and up-to-date information will improve decision making and ultimately the quality of patient care and research. The development of the UMLS is a distributed national experiment with a strong element of international collaboration. The general strategy is to develop UMLS components through a series of successive approximations of the capabilities ultimately desired. Three experimental Knowledge Sources, the Metathesaurus®, the Semantic Network, and the Information Sources Map have been developed and are distributed annually to interested researchers, many of whom have tested and evaluated them in a range of applications. The UMLS project and current developments in high-speed, high-capacity international networks are converging in ways that have great potential for enhancing access to biomedical information.

Entities:  

Year:  1993        PMID: 27668467      PMCID: PMC6693523     

Source DB:  PubMed          Journal:  Yearb Med Inform        ISSN: 0943-4747


  21 in total

Review 1.  Introduction: Integrated Academic Information Management Systems (IAIMS).

Authors:  N M Lorenzi
Journal:  Bull Med Libr Assoc       Date:  1992-07

Review 2.  Dimensions of knowledge sharing and reuse.

Authors:  M A Musen
Journal:  Comput Biomed Res       Date:  1992-10

3.  The developing electronic curriculum consortium.

Authors:  J Eisner
Journal:  J Dent Educ       Date:  1990-10       Impact factor: 2.264

Review 4.  The demise of the "Greek Oracle" model for medical diagnostic systems.

Authors:  R A Miller; F E Masarie
Journal:  Methods Inf Med       Date:  1990-01       Impact factor: 2.176

5.  The Nation's Health Information Network: History of the Regional Medical Library Program, 1965-1985.

Authors:  A Bunting
Journal:  Bull Med Libr Assoc       Date:  1987-07

6.  Generic queries for meeting clinical information needs.

Authors:  J J Cimino; A Aguirre; S B Johnson; P Peng
Journal:  Bull Med Libr Assoc       Date:  1993-04

7.  The UMLS project: making the conceptual connection between users and the information they need.

Authors:  B L Humphreys; D A Lindberg
Journal:  Bull Med Libr Assoc       Date:  1993-04

8.  The UMLS Metathesaurus: representing different views of biomedical concepts.

Authors:  P L Schuyler; W T Hole; M S Tuttle; D D Sherertz
Journal:  Bull Med Libr Assoc       Date:  1993-04

9.  Using a network menu and the UMLS Information Sources Map to facilitate access to online reference materials.

Authors:  J I Clyman; S M Powsner; J A Paton; P L Miller
Journal:  Bull Med Libr Assoc       Date:  1993-04

10.  Coach: applying UMLS knowledge sources in an expert searcher environment.

Authors:  L C Kingsland; A M Harbourt; E J Syed; P L Schuyler
Journal:  Bull Med Libr Assoc       Date:  1993-04
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  17 in total

1.  A semantic lexicon for medical language processing.

Authors:  S B Johnson
Journal:  J Am Med Inform Assoc       Date:  1999 May-Jun       Impact factor: 4.497

2.  Can structured EHR data support clinical coding? A data mining approach.

Authors:  José Carlos Ferrão; Mónica Duarte Oliveira; Filipe Janela; Henrique M G Martins; Daniel Gartner
Journal:  Health Syst (Basingstoke)       Date:  2020-03-01

Review 3.  Deep learning in clinical natural language processing: a methodical review.

Authors:  Stephen Wu; Kirk Roberts; Surabhi Datta; Jingcheng Du; Zongcheng Ji; Yuqi Si; Sarvesh Soni; Qiong Wang; Qiang Wei; Yang Xiang; Bo Zhao; Hua Xu
Journal:  J Am Med Inform Assoc       Date:  2020-03-01       Impact factor: 4.497

4.  Leveraging word embeddings and medical entity extraction for biomedical dataset retrieval using unstructured texts.

Authors:  Yanshan Wang; Majid Rastegar-Mojarad; Ravikumar Komandur-Elayavilli; Hongfang Liu
Journal:  Database (Oxford)       Date:  2017-01-01       Impact factor: 3.451

5.  Alignment of vaccine codes using an ontology of vaccine descriptions.

Authors:  Benedikt Fh Becker; Jan A Kors; Erik M van Mulligen; Miriam Cjm Sturkenboom
Journal:  J Biomed Semantics       Date:  2022-10-18

6.  A concept-based retrieval system for thoracic radiology.

Authors:  R K Taira; D B Johnson; V Bhushan; M Rivera; C Wong; L Huang; D R Aberle; M Greaves; J G Goldin
Journal:  J Digit Imaging       Date:  1996-02       Impact factor: 4.056

7.  Finding relevant biomedical datasets: the UC San Diego solution for the bioCADDIE Retrieval Challenge.

Authors:  Wei Wei; Zhanglong Ji; Yupeng He; Kai Zhang; Yuanchi Ha; Qi Li; Lucila Ohno-Machado
Journal:  Database (Oxford)       Date:  2018-01-01       Impact factor: 3.451

8.  Evaluating semantic relations in neural word embeddings with biomedical and general domain knowledge bases.

Authors:  Zhiwei Chen; Zhe He; Xiuwen Liu; Jiang Bian
Journal:  BMC Med Inform Decis Mak       Date:  2018-07-23       Impact factor: 2.796

9.  Research Trend Visualization by MeSH Terms from PubMed.

Authors:  Heyoung Yang; Hyuck Jai Lee
Journal:  Int J Environ Res Public Health       Date:  2018-05-30       Impact factor: 3.390

10.  Linked open data-based framework for automatic biomedical ontology generation.

Authors:  Mazen Alobaidi; Khalid Mahmood Malik; Susan Sabra
Journal:  BMC Bioinformatics       Date:  2018-09-10       Impact factor: 3.169

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