Literature DB >> 8591140

The UMLS Knowledge Source server.

A T McCray1, A Razi.   

Abstract

The UMLS Knowledge Source server is an evolving tool for accessing information stored in the UMLS Knowledge Sources. The system architecture is based on the client-server paradigm wherein remote site users send their requests to a centrally managed server at the U.S. National Library of Medicine. The client programs can run on platforms supporting the TCP/IP communication protocol. Access to the system is provided through a command-line interface and through an Application Programming Interface.

Entities:  

Mesh：

Year:  1995        PMID： 8591140

Source DB:  PubMed          Journal:  Medinfo        ISSN： 1569-6332


  6 in total

1.  Planned NLM/AHCPR large-scale vocabulary test: using UMLS technology to determine the extent to which controlled vocabularies cover terminology needed for health care and public health.

Authors:  B L Humphreys; W T Hole; A T McCray; J M Fitzmaurice
Journal:  J Am Med Inform Assoc       Date:  1996 Jul-Aug       Impact factor: 4.497

2.  Evaluation of the Unified Medical Language System as a medical knowledge source.

Authors:  O Bodenreider; A Burgun; G Botti; M Fieschi; P Le Beux; F Kohler
Journal:  J Am Med Inform Assoc       Date:  1998 Jan-Feb       Impact factor: 4.497

3.  The rubber meets the road: integrating the Unified Medical Language System Knowledge Source Server into the computer-based patient record.

Authors:  K B Johnson; E B George
Journal:  Proc AMIA Annu Fall Symp       Date:  1997

4.  Phase II evaluation of clinical coding schemes: completeness, taxonomy, mapping, definitions, and clarity. CPRI Work Group on Codes and Structures.

Authors:  J R Campbell; P Carpenter; C Sneiderman; S Cohn; C G Chute; J Warren
Journal:  J Am Med Inform Assoc       Date:  1997 May-Jun       Impact factor: 4.497

5.  The SAPHIRE server: a new algorithm and implementation.

Authors:  W Hersh; T J Leone
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1995

6.  Natural language processing: state of the art, current trends and challenges.

Authors:  Diksha Khurana; Aditya Koli; Kiran Khatter; Sukhdev Singh
Journal:  Multimed Tools Appl       Date:  2022-07-14       Impact factor: 2.577
  6 in total

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