Determining correspondences between high-frequency MedDRA concepts and SNOMED: a case study
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Standardizing adverse drug event reporting dataExploitation of semantic methods to cluster pharmacovigilance termsDeficiencies in the transfer and availability of clinical trials evidence: a review of existing systems and standards.Ontology-based Vaccine and Drug Adverse Event Representation and Theory-guided Systematic Causal Network Analysis toward Integrative Pharmacovigilance ResearchEvaluating standard terminologies for encoding allergy information.Ontology-based literature mining and class effect analysis of adverse drug reactions associated with neuropathy-inducing drugs.
P2860
Determining correspondences between high-frequency MedDRA concepts and SNOMED: a case study
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2010 nî lūn-bûn
@nan
2010 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Determining correspondences be ...... cepts and SNOMED: a case study
@ast
Determining correspondences be ...... cepts and SNOMED: a case study
@en
type
label
Determining correspondences be ...... cepts and SNOMED: a case study
@ast
Determining correspondences be ...... cepts and SNOMED: a case study
@en
prefLabel
Determining correspondences be ...... cepts and SNOMED: a case study
@ast
Determining correspondences be ...... cepts and SNOMED: a case study
@en
P2860
P356
P1476
Determining correspondences be ...... cepts and SNOMED: a case study
@en
P2093
Jonathan D Darer
Prakash M Nadkarni
P2860
P2888
P356
10.1186/1472-6947-10-66
P577
2010-10-28T00:00:00Z
P5875
P6179
1007560686