Use of feature importance statistics to accurately predict asthma attacks using machine learning: A cross-sectional cohort study of the US population

BACKGROUND: Asthma attacks are a major cause of morbidity and mortality in vulnerable populations, and identification of associations with asthma attacks is necessary to improve public awareness and the timely delivery of medical interventions. OBJECTIVE: The study aimed to identify feature importan...

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Detalles Bibliográficos
Autores principales: Huang, Alexander A., Huang, Samuel Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10664888/
https://www.ncbi.nlm.nih.gov/pubmed/37992024
http://dx.doi.org/10.1371/journal.pone.0288903

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10664888/
https://www.ncbi.nlm.nih.gov/pubmed/37992024
http://dx.doi.org/10.1371/journal.pone.0288903

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