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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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| Autors principals: | , , , , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
American Thoracic Society
2013
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| Matèries: | |
| Accés en línia: | 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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