Identifying clinically important COPD sub-types using data-driven approaches in primary care population based electronic health records

BACKGROUND: COPD is a highly heterogeneous disease composed of different phenotypes with different aetiological and prognostic profiles and current classification systems do not fully capture this heterogeneity. In this study we sought to discover, describe and validate COPD subtypes using cluster a...

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Detalles Bibliográficos
Autores principales: Pikoula, Maria, Quint, Jennifer Kathleen, Nissen, Francis, Hemingway, Harry, Smeeth, Liam, Denaxas, Spiros
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6472089/
https://www.ncbi.nlm.nih.gov/pubmed/30999919
http://dx.doi.org/10.1186/s12911-019-0805-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6472089/
https://www.ncbi.nlm.nih.gov/pubmed/30999919
http://dx.doi.org/10.1186/s12911-019-0805-0

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