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

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:	Recurrent neural network Long short-term memory Gated recurrent unit Air pollution Asthma Influenza
Online Access:	https://doi.org/10.1186/s12931-023-02616-x

Similar Items

Highway Speed Prediction Using Gated Recurrent Unit Neural Networks
by: Myeong-Hun Jeong, et al.
Published: (2021-03-01)

Harnessing Deep Learning and Snow Cover Data for Enhanced Runoff Prediction in Snow-Dominated Watersheds
by: Rana Muhammad Adnan, et al.
Published: (2024-11-01)

A Hybrid Deep Learning Model to Forecast Particulate Matter Concentration Levels in Seoul, South Korea
by: Guang Yang, et al.
Published: (2020-03-01)

Prediction of Forex Prices on USD/NGN Using Deep Learning (LSTM and GRU) Techniques
by: Mary O Olanrewaju, et al.
Published: (2023-12-01)

Ultra-Short-Term Load Demand Forecast Model Framework Based on Deep Learning
by: Hongze Li, et al.
Published: (2020-09-01)

Airborne Particulate Matter Modeling: A Comparison of Three Methods Using a Topology Performance Approach
by: Julio Alberto Ramírez-Montañez, et al.
Published: (2021-12-01)

CombineDeepNet: A Deep Network for Multistep Prediction of Near-Surface PM<inline-formula><tex-math notation="LaTeX">$_{2.5}$</tex-math></inline-formula> Concentration
by: Prasanjit Dey, et al.
Published: (2024-01-01)

Forecasting Liquefied Natural Gas Bunker Prices Using Artificial Neural Network for Procurement Management
by: Kyunghwan Kim, et al.
Published: (2022-11-01)

A Deep Learning Approach for Short-Term Electricity Demand Forecasting: Analysis of Thailand Data
by: Ranju Kumari Shiwakoti, et al.
Published: (2024-05-01)

Prediction and Comparative Analysis of Software Reliability Model Based on NHPP and Deep Learning
by: Youn Su Kim, et al.
Published: (2023-05-01)

Application of hybrid gate recurrent unit for in-store trajectory prediction based on indoor location system
by: Yi Zuo, et al.
Published: (2025-01-01)

Tourism Demand Forecasting Based on an LSTM Network and Its Variants
by: Shun-Chieh Hsieh
Published: (2021-08-01)

Urban Traffic Flow Prediction Using LSTM and GRU
by: Hung-Chin Jang, et al.
Published: (2024-01-01)

Deep Learning for Telecom Self-Optimized Networks: Benefits and Implications
by: Farah Alhaqui, et al.
Published: (2024-01-01)

Advanced Analysis of Learning-Based Spam Email Filtering Methods Based on Feature Distribution Differences of Dataset
by: Jin-Seong Kim, et al.
Published: (2024-01-01)

Time Series Forecasting of Significant Wave Height using GRU, CNN-GRU, and LSTM
by: Cornelius Stephanus Alfredo, et al.
Published: (2022-10-01)

Weighted Deep Learning Approach for Better Forecasting
by: Seng Hansun, et al.
Published: (2024-01-01)

A data decomposition and attention mechanism-based hybrid approach for electricity load forecasting
by: Hadi Oqaibi, et al.
Published: (2024-03-01)

Forecasting Stock Market Indices Using Integration of Encoder, Decoder, and Attention Mechanism
by: Tien Thanh Thach
Published: (2025-01-01)

Hybrid Deep Recurrent Neural Networks for Noise Reduction of MEMS-IMU with Static and Dynamic Conditions
by: Shipeng Han, et al.
Published: (2021-02-01)

Track Geometry Prediction Using Three-Dimensional Recurrent Neural Network-Based Models Cross-Functionally Co-Simulated with BIM
by: Jessada Sresakoolchai, et al.
Published: (2022-12-01)

A Framework for Fall Detection Based on OpenPose Skeleton and LSTM/GRU Models
by: Chuan-Bi Lin, et al.
Published: (2020-12-01)

Forecasting Stock Market Indices Using the Recurrent Neural Network Based Hybrid Models: CNN-LSTM, GRU-CNN, and Ensemble Models
by: Hyunsun Song, et al.
Published: (2023-04-01)

Predicting the Output of Solar Photovoltaic Panels in the Absence of Weather Data Using Only the Power Output of the Neighbouring Sites
by: Heon Jeong
Published: (2023-03-01)

Leveraging graph neural networks and gate recurrent units for accurate and transparent prediction of baseball pitching speed
by: Chen Yang, et al.
Published: (2025-03-01)

Internet Traffic Prediction with Distributed Multi-Agent Learning
by: Weiwei Jiang, et al.
Published: (2022-11-01)

Comparative Study of Mortality Rate Prediction Using Data-Driven Recurrent Neural Networks and the Lee–Carter Model
by: Yuan Chen, et al.
Published: (2022-11-01)

AI-Driven Electrical Fast Transient Suppression for Enhanced Electromagnetic Interference Immunity in Inductive Smart Proximity Sensors
by: Silvia Giangaspero, et al.
Published: (2024-11-01)

Mutation prediction in the SARS-CoV-2 genome using attention-based neural machine translation
by: Darrak Moin Quddusi, et al.
Published: (2024-05-01)

Comparative study of time-series forecasting models for wind power generation in Gujarat, India
by: Sulagna Mahata, et al.
Published: (2024-06-01)

A Deep Ensemble Neural Network with Attention Mechanisms for Lung Abnormality Classification Using Audio Inputs
by: Conor Wall, et al.
Published: (2022-07-01)

Data-Driven Voltage Prognostic for Solid Oxide Fuel Cell System Based on Deep Learning
by: Mingfei Li, et al.
Published: (2022-08-01)

A Comprehensive Hybrid Deep Learning Approach for Accurate Status Predicting of Hydropower Units
by: Liyong Ma, et al.
Published: (2024-10-01)

Predicting temperature of a Li-ion battery under dynamic current using long short-term memory
by: Jihye Han, et al.
Published: (2024-11-01)

Temperature-Based State-of-Charge Estimation Using Neural Networks, Gradient Boosting Machine and a Jetson Nano Device for Batteries
by: Donghun Wang, et al.
Published: (2023-03-01)

LightCardiacNet: light-weight deep ensemble network with attention mechanism for cardiac sound classification
by: Suma K. V., et al.
Published: (2024-12-01)

Cloud spot instance price forecasting multi-headed models tuned using modified PSO
by: Mohamed Salb, et al.
Published: (2024-12-01)

Abnormal Gait Classification in Children With Cerebral Palsy Using ConvLSTM Hybrid Model and GAN
by: Yelle Kavya, et al.
Published: (2024-01-01)

HDL-IDS: A Hybrid Deep Learning Architecture for Intrusion Detection in the Internet of Vehicles
by: Safi Ullah, et al.
Published: (2022-02-01)

A Comparative Analysis of Hybrid Deep Learning Models for Human Activity Recognition
by: Saedeh Abbaspour, et al.
Published: (2020-10-01)