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Development and comparison of predictive models for sexually transmitted diseases—AIDS, gonorrhea, and syphilis in China, 2011–2021
13 references·0 citing·43 second hop
Development and comparison of predictive models for sexually transmitted diseases—AIDS, gonorrhea, and syphilis in China, 2011–2021 (2022)Development and comparison of predictive …A comparative study on the prediction of the BP artificial neural network model and the ARIMA model in the incidence of AIDS (2020)A comparative study on the pr…Trends in the Epidemiology of Sexually Transmitted Disease, Acquired Immune Deficiency Syndrome (AIDS), Gonorrhea, and Syphilis, in the 31 Provinces of Mainland China (2019)Trends in the Epidemiology of…Application of a long short-term memory neural network: a burgeoning method of deep learning in forecasting HIV incidence in Guangxi, China (2019)Application of a long short-t…Hybrid methodology for tuberculosis incidence time-series forecasting based on ARIMA and a NAR neural network (2017)Hybrid methodology for tuberc…Epidemiological features of and changes in incidence of infectious diseases in China in the first decade after the SARS outbreak: an observational trend study (2017)Epidemiological features of a…Financial Time Series Prediction Using Elman Recurrent Random Neural Networks (2016)Financial Time Series Predict…Application of a Combined Model with Autoregressive Integrated Moving Average (ARIMA) and Generalized Regression Neural Network (GRNN) in Forecasting Hepatitis Incidence in Heng County, China (2016)Application of a Combined Mod…Rural-to-urban migrants are at high risk of sexually transmitted and viral hepatitis infections in China: a systematic review and meta-analysis (2014)Rural-to-urban migrants are a…Comparative Study of Four Time Series Methods in Forecasting Typhoid Fever Incidence in China (2013)Comparative Study of Four Tim…Improving artificial neural networks’ performance in seasonal time series forecasting (2008)Improving artificial neural n…A historical introduction to grey systems theory (2005)A historical introduction to …A simulation study of artificial neural networks for nonlinear time-series forecasting (2001)A simulation study of artific…Time Series Analysis Forecasting and Control. (1971)Time Series Analysis Forecast…A theory of power-law distributions in financial market fluctuations (2003)A fusion model of HMM, ANN and GA for stock market forecasting (2006)A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)Artificial Neural Network and Genetic Algorithm Hybrid Intelligence for Predicting Thai Stock Price Index Trend (2016)RETRACTED ARTICLE: Grey Wolf optimization-Elman neural network model for stock price prediction (2020)Portfolio management system in equity market neutral using reinforcement learning (2021)Operating Characteristics of a Rank Correlation Test for Publication Bias (1994)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement (2009)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)Migrant Workers in Asia Pacific and Their Rights to Health (2015)Intimate Partner Violence Correlates With A Higher HIV Incidence Among MSM: A 12-Month Prospective Cohort Study in Shenyang, China (2018)Book Review: Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecasting and Control. 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(1971)Seasonality and trend prediction of scarlet fever incidence in mainland China from 2004 to 2018 using a hybrid SARIMA-NARX model (2019)Forecasting hand-foot-and-mouth disease cases using wavelet-based SARIMA–NNAR hybrid model (2021)A multivariate multi-step LSTM forecasting model for tuberculosis incidence with model explanation in Liaoning Province, China (2022)Impact of immunization programs on 11 childhood vaccine-preventable diseases in China: 1950–2018 (2021)Incidence trend and disease burden of seven vaccine-preventable diseases in Shandong province, China, 2013–2017: Findings from a population-based observational study (2022)Distribution of the Estimators for Autoregressive Time Series With a Unit Root (1979)Tie Series Analysis, Forecasting, and Control (1995)Unit root tests in panel data: asymptotic and finite-sample properties (2002)
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References

  • 1971Time Series Analysis Forecasting and Control.6,904 cited
  • 2001A simulation study of artificial neural networks for nonlinear time-series forecasting336 cited
  • 2008Improving artificial neural networks’ performance in seasonal time series forecasting281 cited
  • 2017Epidemiological features of and changes in incidence of infectious diseases in China in the first decade after the SARS outbreak: an observational trend study243 cited
  • 2013Comparative Study of Four Time Series Methods in Forecasting Typhoid Fever Incidence in China137 cited
  • 2005A historical introduction to grey systems theory126 cited
  • 2017Hybrid methodology for tuberculosis incidence time-series forecasting based on ARIMA and a NAR neural network104 cited
  • 2016Financial Time Series Prediction Using Elman Recurrent Random Neural Networks98 cited
  • 2016Application of a Combined Model with Autoregressive Integrated Moving Average (ARIMA) and Generalized Regression Neural Network (GRNN) in Forecasting Hepatitis Incidence in Heng County, China94 cited
  • 2014Rural-to-urban migrants are at high risk of sexually transmitted and viral hepatitis infections in China: a systematic review and meta-analysis70 cited
  • 2020A comparative study on the prediction of the BP artificial neural network model and the ARIMA model in the incidence of AIDS66 cited
  • 2019Application of a long short-term memory neural network: a burgeoning method of deep learning in forecasting HIV incidence in Guangxi, China55 cited
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Trends in the Epidemiology of Sexually Transmitted Disease, Acquired Immune Deficiency Syndrome (AIDS), Gonorrhea, and Syphilis, in the 31 Provinces of Mainland China
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