Literature DB >> 12075663

Partitioning the UMLS semantic network.

Zong Chen1, Yehoshua Perl, Michael Halper, James Geller, Huanying Gu.   

Abstract

The unified medical language system (UMLS) integrates many well-established biomedical terminologies. The UMLS semantic network (SN) can help orient users to the vast knowledge content of the UMLS Metathesaurus (META) via its abstract conceptual view. However, the SN itself is large and complex and may still be difficult to comprehend. Our technique partitions the SN into smaller meaningful units amenable to display on limited-sized computer screens. The basis for the partitioning is the distribution of the relationships within the SN. Three rules are applied to transform the original partition into a second more cohesive partition.

Mesh:

Year:  2002        PMID: 12075663     DOI: 10.1109/titb.2002.1006296

Source DB:  PubMed          Journal:  IEEE Trans Inf Technol Biomed        ISSN: 1089-7771


  10 in total

1.  Enriching the structure of the UMLS semantic network.

Authors:  Li Zhang; Yehoshua Perl; Michael H Halper; James Geller; James J Cimino
Journal:  Proc AMIA Symp       Date:  2002

2.  Exploring semantic groups through visual approaches.

Authors:  Olivier Bodenreider; Alexa T McCray
Journal:  J Biomed Inform       Date:  2003-12       Impact factor: 6.317

3.  Semantic classification of biomedical concepts using distributional similarity.

Authors:  Jung-Wei Fan; Carol Friedman
Journal:  J Am Med Inform Assoc       Date:  2007-04-25       Impact factor: 4.497

Review 4.  A review of auditing methods applied to the content of controlled biomedical terminologies.

Authors:  Xinxin Zhu; Jung-Wei Fan; David M Baorto; Chunhua Weng; James J Cimino
Journal:  J Biomed Inform       Date:  2009-03-12       Impact factor: 6.317

Review 5.  Mapping scientific landscapes in UMLS research: a scientometric review.

Authors:  Meen Chul Kim; Seojin Nam; Fei Wang; Yongjun Zhu
Journal:  J Am Med Inform Assoc       Date:  2020-10-01       Impact factor: 4.497

6.  Easing semantically enriched information retrieval-An interactive semi-automatic annotation system for medical documents.

Authors:  Theresia Gschwandtner; Katharina Kaiser; Patrick Martini; Silvia Miksch
Journal:  Int J Hum Comput Stud       Date:  2010-06       Impact factor: 3.632

7.  An enriched unified medical language system semantic network with a multiple subsumption hierarchy.

Authors:  Li Zhang; Yehoshua Perl; Michael Halper; James Geller; James J Cimino
Journal:  J Am Med Inform Assoc       Date:  2004-02-05       Impact factor: 4.497

Review 8.  Evolvix BEST Names for semantic reproducibility across code2brain interfaces.

Authors:  Laurence Loewe; Katherine S Scheuer; Seth A Keel; Vaibhav Vyas; Ben Liblit; Bret Hanlon; Michael C Ferris; John Yin; Inês Dutra; Anthony Pietsch; Christine G Javid; Cecilia L Moog; Jocelyn Meyer; Jerdon Dresel; Brian McLoone; Sonya Loberger; Arezoo Movaghar; Morgaine Gilchrist-Scott; Yazeed Sabri; Dave Sescleifer; Ivan Pereda-Zorrilla; Andrew Zietlow; Rodrigo Smith; Samantha Pietenpol; Jacob Goldfinger; Sarah L Atzen; Erika Freiberg; Noah P Waters; Claire Nusbaum; Erik Nolan; Alyssa Hotz; Richard M Kliman; Ayalew Mentewab; Nathan Fregien; Martha Loewe
Journal:  Ann N Y Acad Sci       Date:  2016-12-05       Impact factor: 5.691

9.  Using data-driven sublanguage pattern mining to induce knowledge models: application in medical image reports knowledge representation.

Authors:  Yiqing Zhao; Nooshin J Fesharaki; Hongfang Liu; Jake Luo
Journal:  BMC Med Inform Decis Mak       Date:  2018-07-06       Impact factor: 2.796

10.  Using contextual and lexical features to restructure and validate the classification of biomedical concepts.

Authors:  Jung-Wei Fan; Hua Xu; Carol Friedman
Journal:  BMC Bioinformatics       Date:  2007-07-24       Impact factor: 3.169

  10 in total

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