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

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

Abstract 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...

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Bibliographic Details
Main Authors: Muwada Bashir Awad Bashir, Rani Basna, Guo-Qiang Zhang, Helena Backman, Anne Lindberg, Linda Ekerljung, Malin Axelsson, Linnea Hedman, Lowie Vanfleteren, Bo Lundbäck, Eva Rönmark, Bright I. Nwaru
Format: Article
Language:English
Published: BMC 2022-10-01
Series:Systematic Reviews
Subjects:
Airway disease
Asthma
Clustering
COPD
Computation
Machine learning
Online Access:https://doi.org/10.1186/s13643-022-02078-0

Internet

https://doi.org/10.1186/s13643-022-02078-0

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