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Journal article

Cluster analysis and clinical asthma phenotypes.

Abstract:

RATIONALE: Heterogeneity in asthma expression is multidimensional, including variability in clinical, physiologic, and pathologic parameters. Classification requires consideration of these disparate domains in a unified model. OBJECTIVES: To explore the application of a multivariate mathematical technique, k-means cluster analysis, for identifying distinct phenotypic groups. METHODS: We performed k-means cluster analysis in three independent asthma populations. Clusters of a population manage...

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Publisher copy:
10.1164/rccm.200711-1754oc

Authors


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Journal:
American journal of respiratory and critical care medicine
Volume:
178
Issue:
3
Pages:
218-224
Publication date:
2008-08-05
DOI:
EISSN:
1535-4970
ISSN:
1073-449X
URN:
uuid:cf17c20b-7c40-4e94-afd0-3abb08c42744
Source identifiers:
423890
Local pid:
pubs:423890

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