Cargando…
Machine Learning Big Data Analysis of the Impact of Air Pollutants on Rhinitis-Related Hospital Visits
This study seeks to elucidate the intricate relationship between various air pollutants and the incidence of rhinitis in Seoul, South Korea, wherein it leveraged a vast repository of data and machine learning techniques. The dataset comprised more than 93 million hospital visits (n = 93,530,064) by...
Autores principales: | Lee, Soyeon, Hyun, Changwan, Lee, Minhyeok |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10459777/ https://www.ncbi.nlm.nih.gov/pubmed/37624224 http://dx.doi.org/10.3390/toxics11080719 |
Ejemplares similares
-
Machine Learning-Based Analyses of the Effects of Various Types of Air Pollutants on Hospital Visits by Asthma Patients
por: Lee, Soyeon, et al.
Publicado: (2022) -
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) -
Low-to-moderate atmospheric ozone levels are negatively correlated with hospital visits by asthma patients
por: Lee, Soyeon, et al.
Publicado: (2022) -
Exploring Associations Between Short-Term Air Pollution and Daily Outpatient Visits for Allergic Rhinitis
por: Tang, Wei, et al.
Publicado: (2023) -
Effect of Air Pollutants and Meteorological Factors on Daily Outpatient Visits of Allergic Rhinitis in Hohhot, China
por: Wang, Xue, et al.
Publicado: (2023)