Auditing complex concepts of SNOMED using a refined hierarchical abstraction network.
about
A family-based framework for supporting quality assurance of biomedical ontologies in BioPortalSculpting the UMLS Refined Semantic Network.Abstraction of complex concepts with a refined partial-area taxonomy of SNOMED.Structural Patterns under X-Rays: Is SNOMED CT Growing Straight?Analyzing structural changes in SNOMED CT's Bacterial infectious diseases using a visual semantic delta.Mining non-lattice subgraphs for detecting missing hierarchical relations and concepts in SNOMED CT.A study of terminology auditors' performance for UMLS semantic type assignments.New abstraction networks and a new visualization tool in support of auditing the SNOMED CT contentAbstraction networks for terminologies: Supporting management of "big knowledge".Structural measures to track the evolution of SNOMED CT hierarchies.Utilizing a structural meta-ontology for family-based quality assurance of the BioPortal ontologies.Syntactic parsing of clinical text: guideline and corpus development with handling ill-formed sentencesScalability of abstraction-network-based quality assurance to large SNOMED hierarchies.Tracking the Remodeling of SNOMED CT's Bacterial Infectious Diseases.A tribal abstraction network for SNOMED CT target hierarchies without attribute relationships.From SNOMED CT to Uberon: Transferability of evaluation methodology between similarly structured ontologies.A unified software framework for deriving, visualizing, and exploring abstraction networks for ontologies.Quality assurance of the gene ontology using abstraction networks.Introducing the Big Knowledge to Use (BK2U) challenge.Scalable quality assurance for large SNOMED CT hierarchies using subject-based subtaxonomies.Taxonomy-Based Approaches to Quality Assurance of Ontologies.Quality assurance of chemical ingredient classification for the National Drug File - Reference Terminology.Auditing SNOMED CT hierarchical relations based on lexical features of concepts in non-lattice subgraphs.Assessing the Practice of Biomedical Ontology Evaluation: Gaps and Opportunities.
P2860
Q30759978-F9615423-6EBB-4155-B656-5A2361862314Q34531164-1D7F02F2-168E-43A1-B4FC-AE981D6EA1B7Q35855837-A09E9C70-00EA-4A71-895C-3F071BC3C70BQ36182079-8A06901A-63BE-470F-AAD7-54153CE6571AQ36284958-1A25DBD6-39D2-453F-BA11-DA27B33E4343Q36322261-D8FD517E-FD1C-425F-9964-14C3F1D90C79Q36417340-E406D980-2CD4-4A30-80F4-D4B5A2C9BD36Q36519477-18EC9C90-3883-4BEA-BEB2-F9BC19A5257DQ36546237-AB468C56-029C-4EE7-9DA9-5B804D38AB03Q36554745-95F6DC56-7D41-412E-A3D9-45E2CEF28478Q36971215-DFAAF136-9094-4680-83F9-FB2F93687859Q37292758-CBF62A23-2B61-4196-B381-22810BF42F60Q37508670-8E3D9178-C6EB-4991-A87D-22D2AA79AA21Q37676628-DAC769B9-1705-4CB5-A87B-11A5683E7A08Q38261648-2E72B133-41E2-4C45-A19F-B9492EA0AE81Q38376518-5610D10D-E0DB-4907-A368-2B455D6F61F7Q38445570-115E6774-E935-4DA7-81D0-4CDA8EF4FC28Q38446019-4A6C4D17-9C68-4F2B-B6BF-3614E8BB93E1Q39280900-CCC74C41-5D70-475D-8CA8-719D702E919CQ45004785-39A16F56-80F8-45F9-927E-72F84CEA4216Q47095868-E81800E5-5514-4B17-B649-2F586D961A7EQ48505178-A209BE3E-C2AB-4532-A12E-BECB61BA8B78Q49601471-8BB8002A-0EAD-4BA5-9B41-4C54C518E7B5Q49807928-4549084B-BF43-4782-8FB0-6AE43E092FB8
P2860
Auditing complex concepts of SNOMED using a refined hierarchical abstraction network.
description
2011 nî lūn-bûn
@nan
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
2011年论文
@zh
2011年论文
@zh-cn
name
Auditing complex concepts of SNOMED using a refined hierarchical abstraction network.
@ast
Auditing complex concepts of SNOMED using a refined hierarchical abstraction network.
@en
type
label
Auditing complex concepts of SNOMED using a refined hierarchical abstraction network.
@ast
Auditing complex concepts of SNOMED using a refined hierarchical abstraction network.
@en
prefLabel
Auditing complex concepts of SNOMED using a refined hierarchical abstraction network.
@ast
Auditing complex concepts of SNOMED using a refined hierarchical abstraction network.
@en
P2093
P2860
P1476
Auditing complex concepts of SNOMED using a refined hierarchical abstraction network.
@en
P2093
Gai Elhanan
Huanying Gu
James T Case
Junchuan Xu
Kent A Spackman
Michael Halper
P2860
P356
10.1016/J.JBI.2011.08.016
P577
2011-09-01T00:00:00Z