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A multivariate multi-step LSTM forecasting model for tuberculosis incidence with model explanation in Liaoning Province, China
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A multivariate multi-step LSTM forecasting model for tuberculosis incidence with model explanation in Liaoning Province, China (2022)A multivariate multi-step LSTM forecastin…Efficient Prediction of Cardiovascular Disease Using Machine Learning Algorithms With Relief and LASSO Feature Selection Techniques (2021)Efficient Prediction of Cardi…An Advanced Data-Driven Hybrid Model of SARIMA-NNNAR for Tuberculosis Incidence Time Series Forecasting in Qinghai Province, China (2020)An Advanced Data-Driven Hybri…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…Hybrid methodology for tuberculosis incidence time-series forecasting based on ARIMA and a NAR neural network (2017)Hybrid methodology for tuberc…Comparison of China's primary energy consumption forecasting by using ARIMA (the autoregressive integrated moving average) model and GM(1,1) model (2016)Comparison of China's primary…Stability and Shapley value for an n-persons fuzzy game (1980)Stability and Shapley value f…Theory of Games and Economic Behaviour. (1946)Fuzzy games: A description of the concept (1978)A lexicographical solution concept in an n-person cooperative fuzzy game (1994)Shapley mappings and the cumulative value for n-person games with fuzzy coalitions (2007)A simplified expression of the Shapley function for fuzzy game (2008)Theory of games and economic behavior (2019)Time Series Analysis, Forecasting and Control. (1971)Time Series Analysis: Forecasting and Control (1977)Time series forecasting using a hybrid ARIMA and neural network model (2003)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)Application of a hybrid model in predicting the incidence of tuberculosis in a Chinese population (2019)Reducing demand uncertainty in the platelet supply chain through artificial neural networks and ARIMA models (2019)Industrial and business forecasting methods : a practical guide to exponential smoothing and curve fitting (1982)Computational and Mathematical Methods in Medicine (2011)A new linear & nonlinear artificial neural network model for time series forecasting (2012)Research on GDP Forecast Analysis Combining BP Neural Network and ARIMA Model (2021)A Combined Model of SARIMA and Prophet Models in Forecasting AIDS Incidence in Henan Province, China (2022)The research of ARIMA, GM(1,1), and LSTM models for prediction of TB cases in China (2022)Forecasting China's electricity consumption using a new grey prediction model (2018)The Effect of Green Finance on Energy Sustainable Development: A Case Study in China (2019)Development of regression models to forecast the CO2 emissions from fossil fuels in the BRICS and MINT countries (2022)
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References

  • 2021Efficient Prediction of Cardiovascular Disease Using Machine Learning Algorithms With Relief and LASSO Feature Selection Techniques582 cited
  • 2016Comparison of China's primary energy consumption forecasting by using ARIMA (the autoregressive integrated moving average) model and GM(1,1) model393 cited
  • 1980Stability and Shapley value for an n-persons fuzzy game150 cited
  • 2017Hybrid methodology for tuberculosis incidence time-series forecasting based on ARIMA and a NAR neural network104 cited
  • 2020A comparative study on the prediction of the BP artificial neural network model and the ARIMA model in the incidence of AIDS66 cited
  • 2020An Advanced Data-Driven Hybrid Model of SARIMA-NNNAR for Tuberculosis Incidence Time Series Forecasting in Qinghai Province, China40 cited

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