Computational phenotyping of obstructive airway diseases: protocol for a systematic review

BACKGROUND: Over the last decade, computational sciences have contributed immensely to characterization of phenotypes of airway diseases, but it is difficult to compare derived phenotypes across studies, perhaps as a result of the different decisions that fed into these phenotyping exercises. We aim...

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Detalles Bibliográficos
Autores principales: Bashir, Muwada Bashir Awad, Basna, Rani, Zhang, Guo-Qiang, Backman, Helena, Lindberg, Anne, Ekerljung, Linda, Axelsson, Malin, Hedman, Linnea, Vanfleteren, Lowie, Lundbäck, Bo, Rönmark, Eva, Nwaru, Bright I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9559879/
https://www.ncbi.nlm.nih.gov/pubmed/36229872
http://dx.doi.org/10.1186/s13643-022-02078-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9559879/
https://www.ncbi.nlm.nih.gov/pubmed/36229872
http://dx.doi.org/10.1186/s13643-022-02078-0

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