Predicting Infectious Disease Using Deep Learning and Big Data
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- Victor Olsavszky & Mihnea Dosius & Cristian Vladescu & Johannes Benecke, 2020. "Time Series Analysis and Forecasting with Automated Machine Learning on a National ICD-10 Database," IJERPH, MDPI, vol. 17(14), pages 1-17, July.
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- Monday Osayande & Osagie Osifo, 2024. "Application Of Covid-19 Data: Investigating The Impact On Weekly Stock Market Returns In Nigeria," Journal of Academic Research in Economics, Spiru Haret University, Faculty of Accounting and Financial Management Constanta, vol. 16(2 (July)), pages 403-416.
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- Laura Zoboroski & Torrey Wagner & Brent Langhals, 2021. "Classical and Neural Network Machine Learning to Determine the Risk of Marijuana Use," IJERPH, MDPI, vol. 18(14), pages 1-15, July.
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- Corrado Lanera & Ileana Baldi & Andrea Francavilla & Elisa Barbieri & Lara Tramontan & Antonio Scamarcia & Luigi Cantarutti & Carlo Giaquinto & Dario Gregori, 2022. "A Deep Learning Approach to Estimate the Incidence of Infectious Disease Cases for Routinely Collected Ambulatory Records: The Example of Varicella-Zoster," IJERPH, MDPI, vol. 19(10), pages 1-13, May.
- Bowen Long & Fangya Tan & Mark Newman, 2023. "Forecasting the Monkeypox Outbreak Using ARIMA, Prophet, NeuralProphet, and LSTM Models in the United States," Forecasting, MDPI, vol. 5(1), pages 1-11, January.
- Lee, Donghyun & Kim, Mingyu & Lee, Beomhui & Chae, Sangwon & Kwon, Sungjun & Kang, Sungwon, 2022. "Integrated explainable deep learning prediction of harmful algal blooms," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
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Keywords
infectious disease prediction; deep neural network; long short-term memory; deep learning; social media big data;All these keywords.
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