Epidemiological and clinical characteristics of influenza patients in respiratory department under the prediction of autoregressive integrated moving average model
Sign Up to like & getrecommendations! Published in 2021 at "Results in physics"
DOI: 10.1016/j.rinp.2021.104070
Abstract: Abstract this study was to explore the epidemiological distribution characteristics and future development trends of influenza-like illness (ILI) by autoregressive integrated moving average model (ARIMA). The information on ILI in the hospital from January 2016… read more here.
Keywords: autoregressive integrated; integrated moving; moving average; average model ... See more keywords
Malaria amidst the COVID-19 pandemic in Gabon: an application of autoregressive integrated moving average (ARIMA) models within an interrupted time series (ITS) framework to hospital-based data
Sign Up to like & getrecommendations! Published in 2025 at "International Journal of Epidemiology"
DOI: 10.1093/ije/dyaf140
Abstract: Abstract Background Coinciding with the SARS-CoV-2 pandemic, malaria cases and malaria-related deaths increased globally between 2020 and 2022. However, evidence linking the pandemic to increased malaria burden remains ambiguous. We assessed the extent to which… read more here.
Keywords: autoregressive integrated; control; integrated moving; moving average ... See more keywords
A novel forecasting of continuous monthly streamflow based on lagged climate indices: uses of autoregressive integrated moving average and artificial neural network techniques
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Hydroinformatics"
DOI: 10.2166/hydro.2025.202
Abstract: This study used autoregressive integrated moving average (ARIMA) and artificial neural network (ANN) models to forecast long-term streamflow of Victoria's six stations (Acheron, Goulburn, Rubicon, Ovens, King, and Buffalo). Lagged monthly combined climate indices were… read more here.
Keywords: autoregressive integrated; integrated moving; moving average; artificial neural ... See more keywords
Improving Daily Peak Flow Forecasts Using Hybrid Fourier-Series Autoregressive Integrated Moving Average and Recurrent Artificial Neural Network Models
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DOI: 10.3390/ai1020017
Abstract: In multi-purpose reservoirs, to achieve optimal operation, sophisticated models are required to forecast reservoir inflow in both short- and long-horizon times with an acceptable accuracy, particularly for peak flows. In this study, an auto-regressive hybrid… read more here.
Keywords: integrated moving; model; series; fourier series ... See more keywords
Adaptive Online Learning for the Autoregressive Integrated Moving Average Models
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DOI: 10.3390/math9131523
Abstract: This paper addresses the problem of predicting time series data using the autoregressive integrated moving average (ARIMA) model in an online manner. Existing algorithms require model selection, which is time consuming and unsuitable for the… read more here.
Keywords: adaptive online; moving average; integrated moving; online learning ... See more keywords