Prediction of the number of asthma patients using environmental factors based on deep learning algorithms

Abstract Background Air pollution, weather, pollen, and influenza are typical aggravating factors for asthma. Previous studies have identified risk factors using regression-based and ensemble models. However, studies that consider complex relationships and interactions among these factors have yet t...

Full description

Bibliographic Details
Main Authors: Hyemin Hwang, Jae-Hyuk Jang, Eunyoung Lee, Hae-Sim Park, Jae Young Lee
Format: Article
Language:English
Published: BMC 2023-12-01
Series:Respiratory Research
Subjects:
Online Access:https://doi.org/10.1186/s12931-023-02616-x