A boosting-enhanced Bayesian conjugate model for oncology demand forecasting outperforms ARIMA, LSTM, and XGBoost in trend direction accuracy by up to 38.25% on real Brazilian hospital data.
OTexts, 2018
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IDOBE compiles over 10,000 epidemiological outbreaks into a public benchmark and shows that MLP-based models deliver the most robust short-term forecasts while statistical methods hold a slight edge pre-peak.
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citing papers explorer
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Forecasting Oncology Demand Trends with Boosting-Based Bayesian Conjugate Models
A boosting-enhanced Bayesian conjugate model for oncology demand forecasting outperforms ARIMA, LSTM, and XGBoost in trend direction accuracy by up to 38.25% on real Brazilian hospital data.
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IDOBE: Infectious Disease Outbreak forecasting Benchmark Ecosystem
IDOBE compiles over 10,000 epidemiological outbreaks into a public benchmark and shows that MLP-based models deliver the most robust short-term forecasts while statistical methods hold a slight edge pre-peak.
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A Benchmark of Classical and Deep Learning Models for Agricultural Commodity Price Forecasting on A Novel Bangladeshi Market Price Dataset
AgriPriceBD dataset of 1779 daily prices released; naive persistence outperforms deep models like Informer and Time2Vec-Transformer on heterogeneous Bangladeshi commodity series with statistical validation.