Cargando…
Machine Learning-Based Analyses of the Effects of Various Types of Air Pollutants on Hospital Visits by Asthma Patients
Asthma is a chronic respiratory disorder defined by airway inflammation, chest pains, wheezing, coughing, and difficulty breathing that affects an estimated 300 million individuals globally. Although various studies have shown an association between air pollution and asthma, few studies have used st...
Autores principales: | Lee, Soyeon, Ku, Hyeeun, Hyun, Changwan, Lee, Minhyeok |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9696060/ https://www.ncbi.nlm.nih.gov/pubmed/36355936 http://dx.doi.org/10.3390/toxics10110644 |
Ejemplares similares
-
Machine Learning Big Data Analysis of the Impact of Air Pollutants on Rhinitis-Related Hospital Visits
por: Lee, Soyeon, et al.
Publicado: (2023) -
Low-to-moderate atmospheric ozone levels are negatively correlated with hospital visits by asthma patients
por: Lee, Soyeon, et al.
Publicado: (2022) -
Spatiotemporal analysis of air pollution and asthma patient visits in Taipei, Taiwan
por: Chan, Ta-Chien, et al.
Publicado: (2009) -
Discovering potential pathways between type 2 diabetes mellitus and diabetic retinopathy: A big data analysis of the South Korean National Sample Cohort
por: Kim, Yoojoong, et al.
Publicado: (2023) -
Air Pollution, Urgent Asthma Medical Visits and the Modifying Effect of Neighborhood Asthma Prevalence
por: Lovinsky-Desir*, Stephanie, et al.
Publicado: (2018)