Blood Glucose Prediction with Variance Estimation Using Recurrent Neural Networks
暂无分享,去创建一个
Olof Mogren | John Martinsson | Alexander Schliep | Björn Eliasson | Alexander Schliep | Olof Mogren | B. Eliasson | John Martinsson
[1] Gaurav Baruah,et al. Predicting Glycemia in Type 1 Diabetes Patients: Experiments with XG-Boost , 2018, KHD@IJCAI.
[2] P. Cryer,et al. Hypoglycemia in diabetes. , 2003, Diabetes care.
[3] Scott M. Pappada,et al. Neural network-based real-time prediction of glucose in patients with insulin-dependent diabetes. , 2011, Diabetes technology & therapeutics.
[4] Dana Lewis,et al. Real-World Use of Open Source Artificial Pancreas Systems , 2016, Journal of diabetes science and technology.
[5] Sepp Hochreiter,et al. The Vanishing Gradient Problem During Learning Recurrent Neural Nets and Problem Solutions , 1998, Int. J. Uncertain. Fuzziness Knowl. Based Syst..
[6] Giuseppe De Nicolao,et al. Neural Network Incorporating Meal Information Improves Accuracy of Short-Time Prediction of Glucose Concentration , 2012, IEEE Transactions on Biomedical Engineering.
[7] Alexander Schliep,et al. Automatic Blood Glucose Prediction with Confidence Using Recurrent Neural Networks , 2018, KDH@IJCAI.
[8] D. Gough,et al. Is blood glucose predictable from previous values? A solicitation for data. , 1999, Diabetes.
[9] C. Bishop. Mixture density networks , 1994 .
[10] Lyvia Biagi,et al. Prediction of Blood Glucose Levels And Nocturnal Hypoglycemia Using Physiological Models and Artificial Neural Networks , 2018, KHD@IJCAI.
[11] Giovanni Sparacino,et al. Glucose Concentration can be Predicted Ahead in Time From Continuous Glucose Monitoring Sensor Time-Series , 2007, IEEE Transactions on Biomedical Engineering.
[12] Claudio Cobelli,et al. A Glucose-Specific Metric to Assess Predictors and Identify Models , 2012, IEEE Transactions on Biomedical Engineering.
[13] Lyvia Biagi,et al. Using Grammatical Evolution to Generate Short-term Blood Glucose Prediction Models , 2018, KHD@IJCAI.
[14] Boris Kovatchev,et al. The Surveillance Error Grid , 2014, Journal of diabetes science and technology.
[15] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[16] S.G. Mougiakakou,et al. Neural Network based Glucose - Insulin Metabolism Models for Children with Type 1 Diabetes , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.
[17] D. Cox,et al. Evaluating Clinical Accuracy of Systems for Self-Monitoring of Blood Glucose , 1987, Diabetes Care.
[18] Matthew T. Wiley,et al. Machine Learning for Diabetes Decision Support , 2011 .
[19] Cynthia R. Marling,et al. Using LSTMs to learn physiological models of blood glucose behavior , 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
[20] C. Cobelli,et al. Artificial neural network algorithm for online glucose prediction from continuous glucose monitoring. , 2010, Diabetes technology & therapeutics.
[21] Cynthia R. Marling,et al. Blood Glucose Level Prediction Using Physiological Models and Support Vector Regression , 2013, 2013 12th International Conference on Machine Learning and Applications.
[22] Yoshua Bengio,et al. Learning long-term dependencies with gradient descent is difficult , 1994, IEEE Trans. Neural Networks.
[23] Alex Graves,et al. Generating Sequences With Recurrent Neural Networks , 2013, ArXiv.