Ontology highlight
ABSTRACT:
SUBMITTER: Castaldi PJ
PROVIDER: S-EPMC4004338 | biostudies-literature | 2014 May
REPOSITORIES: biostudies-literature
Castaldi Peter J PJ Dy Jennifer J Ross James J Chang Yale Y Washko George R GR Curran-Everett Douglas D Williams Andre A Lynch David A DA Make Barry J BJ Crapo James D JD Bowler Russ P RP Regan Elizabeth A EA Hokanson John E JE Kinney Greg L GL Han Meilan K MK Soler Xavier X Ramsdell Joseph W JW Barr R Graham RG Foreman Marilyn M van Beek Edwin E Casaburi Richard R Criner Gerald J GJ Lutz Sharon M SM Rennard Steven I SI Santorico Stephanie S Sciurba Frank C FC DeMeo Dawn L DL Hersh Craig P CP Silverman Edwin K EK Cho Michael H MH
Thorax 20140221 5
<h4>Background</h4>There is notable heterogeneity in the clinical presentation of patients with COPD. To characterise this heterogeneity, we sought to identify subgroups of smokers by applying cluster analysis to data from the COPDGene study.<h4>Methods</h4>We applied a clustering method, k-means, to data from 10 192 smokers in the COPDGene study. After splitting the sample into a training and validation set, we evaluated three sets of input features across a range of k (user-specified number of ...[more]