| Nome: | Descrição: | Tamanho: | Formato: | |
|---|---|---|---|---|
| 124.85 KB | Adobe PDF |
Orientador(es)
Resumo(s)
Combining clinical and physiological data from adults with asthma by means of unsupervised classification methods could provide a better taxonomy among the general asthma population. Therefore, we aimed to identify distinct phenotypes using latent class analysis (LCA), in adults with current asthma from the general population.
Descrição
Palavras-chave
Asthma Lung function
Contexto Educativo
Citação
Amaral, R., Pereira, A. M., Jacinto, T., Malinovsch, A., Janson, C., Alving, K., & Fonseca, J. A. (2019). Identification of asthma phenotypes in the US general population: A latent class analysis approach. European Academy of Allergy and Clinical Immunology Congress, 74(S106), 295–296. https://doi.org/10.1111/all.13959
Editora
Wiley
