Predicting Health Risks of Adult Asthmatics Susceptible to Indoor Air Quality Using Improved Logistic and Quantile Regression Models

The increasing global patterns for asthma disease and its associated fiscal burden to healthcare systems demand a change to healthcare processes and the way asthma risks are managed. Patient-centered health care systems equipped with advanced sensing technologies can empower patients to participate...

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Detalles Bibliográficos
Autores principales: Bae, Wan D., Alkobaisi, Shayma, Horak, Matthew, Park, Choon-Sik, Kim, Sungroul, Davidson, Joel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9604638/
https://www.ncbi.nlm.nih.gov/pubmed/36295066
http://dx.doi.org/10.3390/life12101631

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9604638/
https://www.ncbi.nlm.nih.gov/pubmed/36295066
http://dx.doi.org/10.3390/life12101631

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