Challenges in Identifying Asthma Subgroups Using Unsupervised Statistical Learning Techniques

Rationale: Unsupervised statistical learning techniques, such as exploratory factor analysis (EFA) and hierarchical clustering (HC), have been used to identify asthma phenotypes, with partly consistent results. Some of the inconsistency is caused by the variable selection and demographic and clinica...

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Auteurs principaux: Prosperi, Mattia C. F., Sahiner, Umit M., Belgrave, Danielle, Sackesen, Cansin, Buchan, Iain E., Simpson, Angela, Yavuz, Tolga S., Kalayci, Omer, Custovic, Adnan
Format: Artigo
Langue:Inglês
Publié: American Thoracic Society 2013
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Articles
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC3919072/
https://ncbi.nlm.nih.gov/pubmed/24180417
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1164/rccm.201304-0694OC
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