A novel data-driven model for real-time influenza forecasting
暂无分享,去创建一个
Vijay V. Raghavan | Stephen Nichols | Anthony S. Maida | Siva R. Venna | Amirhossein Tavanaei | Raju Gottumukkala
[1] Jürgen Schmidhuber,et al. Applying LSTM to Time Series Predictable through Time-Window Approaches , 2000, ICANN.
[2] Raymond Tellier,et al. Review of Aerosol Transmission of Influenza A Virus , 2006, Emerging infectious diseases.
[3] Krzysztof Sakrejda,et al. Case Study in Evaluating Time Series Prediction Models Using the Relative Mean Absolute Error , 2016, The American statistician.
[4] G. Chowell,et al. Comparative estimation of the reproduction number for pandemic influenza from daily case notification data , 2007, Journal of The Royal Society Interface.
[5] D. J. Rogers,et al. Global Transport Networks and Infectious Disease Spread , 2006, Advances in Parasitology.
[6] Richard K. Kiang,et al. Modeling and Predicting Seasonal Influenza Transmission in Warm Regions Using Climatological Parameters , 2010, PloS one.
[7] Yoshua Bengio,et al. Learning long-term dependencies with gradient descent is difficult , 1994, IEEE Trans. Neural Networks.
[8] Herbert W. Hethcote,et al. The Mathematics of Infectious Diseases , 2000, SIAM Rev..
[9] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[10] Charles Elkan,et al. Learning to Diagnose with LSTM Recurrent Neural Networks , 2015, ICLR.
[11] Bruno Gonçalves,et al. Modeling and Predicting Human Infectious Diseases , 2015, Social Phenomena.
[12] Alicia Karspeck,et al. Real-Time Influenza Forecasts during the 2012–2013 Season , 2013, Nature Communications.
[13] S. Lemon,et al. Classification and regression tree analysis in public health: Methodological review and comparison with logistic regression , 2003, Annals of behavioral medicine : a publication of the Society of Behavioral Medicine.
[14] Cécile Viboud,et al. Air Travel and the Spread of Influenza: Important Caveats , 2006, PLoS medicine.
[15] Carlos Guestrin,et al. "Why Should I Trust You?": Explaining the Predictions of Any Classifier , 2016, ArXiv.
[16] Y. Gel,et al. Influenza Forecasting with Google Flu Trends , 2013, PloS one.
[17] Jeffrey Shaman,et al. Absolute humidity modulates influenza survival, transmission, and seasonality , 2009, Proceedings of the National Academy of Sciences.
[18] Hiroshi Nishiura,et al. Real-time forecasting of an epidemic using a discrete time stochastic model: a case study of pandemic influenza (H1N1-2009) , 2011, Biomedical engineering online.
[19] G. Harper,et al. Airborne micro-organisms: survival tests with four viruses , 1961, Epidemiology and Infection.
[20] Dit-Yan Yeung,et al. Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting , 2015, NIPS.
[21] Dylan B. George,et al. Big Data Opportunities for Global Infectious Disease Surveillance , 2013, PLoS medicine.
[22] Marcus Liwicki,et al. A novel approach to on-line handwriting recognition based on bidirectional long short-term memory networks , 2007 .
[23] John Steel,et al. Influenza Virus Transmission Is Dependent on Relative Humidity and Temperature , 2007, PLoS pathogens.
[24] Jian Ma,et al. A neural netwok based approach to detect influenza epidemics using search engine query data , 2010, 2010 International Conference on Machine Learning and Cybernetics.
[25] Eduardo Sontag,et al. Turing computability with neural nets , 1991 .
[26] Andrew W. Senior,et al. Long short-term memory recurrent neural network architectures for large scale acoustic modeling , 2014, INTERSPEECH.
[27] Eirini Christaki. New technologies in predicting, preventing and controlling emerging infectious diseases , 2015, Virulence.
[28] Sérgio Matos,et al. Analysing Twitter and web queries for flu trend prediction , 2014, Theoretical Biology and Medical Modelling.
[29] Alberto Maria Segre,et al. The Use of Twitter to Track Levels of Disease Activity and Public Concern in the U.S. during the Influenza A H1N1 Pandemic , 2011, PloS one.
[30] Jürgen Schmidhuber,et al. LSTM recurrent networks learn simple context-free and context-sensitive languages , 2001, IEEE Trans. Neural Networks.
[31] Jeremy Ginsberg,et al. Detecting influenza epidemics using search engine query data , 2009, Nature.
[32] Jürgen Schmidhuber,et al. Learning to Forget: Continual Prediction with LSTM , 2000, Neural Computation.
[33] Raymond Tellier,et al. Transmission of influenza A in human beings. , 2007, The Lancet. Infectious diseases.
[34] Razvan Pascanu,et al. How to Construct Deep Recurrent Neural Networks , 2013, ICLR.
[35] John Steel,et al. Roles of Humidity and Temperature in Shaping Influenza Seasonality , 2014, Journal of Virology.
[36] PAUL J. WERBOS,et al. Generalization of backpropagation with application to a recurrent gas market model , 1988, Neural Networks.
[37] Mevin B. Hooten,et al. Assessing North American influenza dynamics with a statistical SIRS model. , 2010, Spatial and spatio-temporal epidemiology.
[38] Robert Fildes,et al. The evaluation of extrapolative forecasting methods , 1992 .
[39] Xiangang Li,et al. Constructing long short-term memory based deep recurrent neural networks for large vocabulary speech recognition , 2014, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[40] S B Thacker,et al. An evaluation of influenza mortality surveillance, 1962-1979. I. Time series forecasts of expected pneumonia and influenza deaths. , 1981, American journal of epidemiology.
[41] J. Brownstein,et al. Empirical Evidence for the Effect of Airline Travel on Inter-Regional Influenza Spread in the United States , 2006, PLoS medicine.
[42] Yunpeng Wang,et al. Long short-term memory neural network for traffic speed prediction using remote microwave sensor data , 2015 .
[43] M. Keeling,et al. Modeling Infectious Diseases in Humans and Animals , 2007 .
[44] Geoffrey E. Hinton,et al. Speech recognition with deep recurrent neural networks , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[45] M. Wilson,et al. The traveller and emerging infections: sentinel, courier, transmitter , 2003, Journal of applied microbiology.
[46] Paola Velardi,et al. Results from the centers for disease control and prevention’s predict the 2013–2014 Influenza Season Challenge , 2016, BMC Infectious Diseases.
[47] F. L. Schaffer,et al. Survival of airborne influenza virus: Effects of propagating host, relative humidity, and composition of spray fluids , 2005, Archives of Virology.
[48] Christopher M. Fuhrmann,et al. The Effects of Weather and Climate on the Seasonality of Influenza: What We Know and What We Need to Know , 2010 .
[49] A. Hall,et al. Adaptive Switching Circuits , 2016 .
[50] Mark A. Miller,et al. Seasonal influenza in the United States, France, and Australia: transmission and prospects for control , 2007, Epidemiology and Infection.
[51] E. Nsoesie,et al. A systematic review of studies on forecasting the dynamics of influenza outbreaks , 2013, Influenza and other respiratory viruses.