Singular spectrum analysis (SSA) based hybrid models for emergency ambulance demand (EAD) time series forecasting

Coupling Singular Spectrum Analysis with Least Square Support Vector Machine to Improve Accuracy of SPI Drought Forecasting

(2021) Quoc Bao Pham et al.   WATER RESOURCES MANAGEMENT

Machine Learning Model for Computational Tracking and Forecasting the COVID-19 Dynamic Propagation

(2021) Daiana Caroline dos Santos Gomes et al.   IEEE Journal of Biomedical and Health Informatics

Multi-step-ahead wind speed forecasting based on a hybrid decomposition method and temporal convolutional networks

(2021) Dan Li et al.   ENERGY

Effects of hourly levels of ambient air pollution on ambulance emergency call-outs in Shenzhen, China

(2020) Ting-Ting Chen et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

The effects of weather on daily emergency ambulance service demand in Taipei: a comparison with Hong Kong

(2020) Ho Ting Wong et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Hybrid SSA-ARIMA-ANN Model for Forecasting Daily Rainfall

(2020) Poornima Unnikrishnan et al.   WATER RESOURCES MANAGEMENT

Medical service demand forecasting using a hybrid model based on ARIMA and self-adaptive filtering method

(2020) Yihuai Huang et al.   BMC Medical Informatics and Decision Making

A validation of machine learning-based risk scores in the prehospital setting

(2019) Douglas Spangler et al.   PLoS One

The Sliding Singular Spectrum Analysis: A Data-Driven Nonstationary Signal Decomposition Tool

(2018) Jinane Harmouche et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

A hybrid ARIMA-SVR approach for forecasting emergency patient flow

(2018) Yumeng Zhang et al.   Journal of Ambient Intelligence and Humanized Computing

The relationship between airborne fine particle matter and emergency ambulance dispatches in a southwestern city in Chengdu, China

(2017) Ruicong Liu et al.   ENVIRONMENTAL POLLUTION

Application of time series analysis in modelling and forecasting emergency department visits in a medical centre in Southern Taiwan

(2017) Wang-Chuan Juang et al.   BMJ Open

Demand Forecast Using Data Analytics for the Preallocation of Ambulances

(2016) Albert Y. Chen et al.   IEEE Journal of Biomedical and Health Informatics

A Hybrid Short-Term Traffic Flow Prediction Model Based on Singular Spectrum Analysis and Kernel Extreme Learning Machine

(2016) Qiang Shang et al.   PLoS One

A comparison of multivariate and univariate time series approaches to modelling and forecasting emergency department demand in Western Australia

(2015) Patrick Aboagye-Sarfo et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Variations of singular spectrum analysis for separability improvement: non-orthogonal decompositions of time series

(2015) Nina Golyandina et al.   Statistics and Its Interface

Using Singular Spectrum Analysis to obtain staffing level requirements in emergency units

(2013) Jonathan Gillard et al.   JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY

A review on singular spectrum analysis for economic and financial time series

(2013) Hossein Hassani et al.   Statistics and Its Interface

Predicting ambulance demand using singular spectrum analysis

(2012) J L Vile et al.   JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY

A systematic review of models for forecasting the number of emergency department visits

(2009) M Wargon et al.   EMERGENCY MEDICINE JOURNAL

Predicting daily exchange rate with singular spectrum analysis

(2009) Hossein Hassani et al.   NONLINEAR ANALYSIS-REAL WORLD APPLICATIONS

EMS call volume predictions: A comparative study

(2008) Hubert Setzler et al.   COMPUTERS & OPERATIONS RESEARCH