Time series model for forecasting the number of new admission inpatients

Overcrowding in emergency departments: A review of strategies to decrease future challenges

(2017) Fatemeh Rezaei et al.   Journal of Research in Medical Sciences

Development of a hybrid model to predict construction and demolition waste: China as a case study

(2017) Yiliao Song et al.   WASTE MANAGEMENT

Analysis of significant factors for dengue fever incidence prediction

(2016) Padet Siriyasatien et al.   BMC BIOINFORMATICS

Time series analysis of influenza incidence in Chinese provinces from 2004 to 2011

(2016) Xin Song et al.   MEDICINE

Using a Hybrid Model to Forecast the Prevalence of Schistosomiasis in Humans

(2016) Lingling Zhou et al.   International Journal of Environmental Research and Public Health

A Hybrid Neural Network Model for Sales Forecasting Based on ARIMA and Search Popularity of Article Titles

(2016) Hani Omar et al.   Computational Intelligence and Neuroscience

Predicting the Direction of Stock Market Index Movement Using an Optimized Artificial Neural Network Model

(2016) Mingyue Qiu et al.   PLoS One

Forecasting mortality of road traffic injuries in China using seasonal autoregressive integrated moving average model

(2015) Xujun Zhang et al.   ANNALS OF EPIDEMIOLOGY

Better performance on length-of-stay benchmarks associated with reduced risk following emergency department discharge: an observational cohort study

(2015) Michael Schull et al.   Canadian Journal of Emergency Medicine

Predicting the number of emergency department presentations in Western Australia: A population-based time series analysis

(2015) Qun Mai et al.   Emergency Medicine Australasia

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

Better performance on length-of-stay benchmarks associated with reduced risk following emergency department discharge: an observational cohort study

(2015) Michael Schull et al.   Canadian Journal of Emergency Medicine

Comparison of Two Hybrid Models for Forecasting the Incidence of Hemorrhagic Fever with Renal Syndrome in Jiangsu Province, China

(2015) Wei Wu et al.   PLoS One

Application of a New Hybrid Model with Seasonal Auto-Regressive Integrated Moving Average (ARIMA) and Nonlinear Auto-Regressive Neural Network (NARNN) in Forecasting Incidence Cases of HFMD in Shenzhen, China

(2014) Lijing Yu et al.   PLoS One

A Hybrid Model for Predicting the Prevalence of Schistosomiasis in Humans of Qianjiang City, China

(2014) Lingling Zhou et al.   PLoS One

Comparison of two new ARIMA-ANN and ARIMA-Kalman hybrid methods for wind speed prediction

(2012) Hui Liu et al.   APPLIED ENERGY

An enhanced hybrid method for time series prediction using linear and neural network models

(2012) Purwanto et al.   APPLIED INTELLIGENCE

A new linear & nonlinear artificial neural network model for time series forecasting

(2012) Ufuk Yolcu et al.   DECISION SUPPORT SYSTEMS

Modeling daily patient arrivals at Emergency Department and quantifying the relative importance of contributing variables using artificial neural network

(2012) M. Xu et al.   DECISION SUPPORT SYSTEMS

Developing a hybrid artificial intelligence model for outpatient visits forecasting in hospitals

(2011) Esmaeil Hadavandi et al.   APPLIED SOFT COMPUTING

A new class of hybrid models for time series forecasting

(2011) Mehdi Khashei et al.   EXPERT SYSTEMS WITH APPLICATIONS

Multilayer perceptron neural network for flow prediction

(2010) P. Araujo et al.   JOURNAL OF ENVIRONMENTAL MONITORING

Forecasting the number of outpatient visits using a new fuzzy time series based on weighted-transitional matrix

(2007) C CHENG et al.   EXPERT SYSTEMS WITH APPLICATIONS