2018 · 161 citations · 16 references
ComputingComputer ScienceHealth InformaticsDiabetologyHealth Data ScienceMachine LearningDeep LearningDiabetes ManagementDiabetes MellitusGlycemic ControlPredictive Health ModelingTime Series PredictionBlood Glucose RegulationDeep Learning For ForecastingDeep Learning For Health MonitoringDeep Learning For Time Series ForecastingLong Short-term Memory NetworksMachine Learning Prediction ModelsPredictive Glucose ModelingRecurrent Neural Network Forecasting
A deep learning network was used to predict future blood glucose levels, as this can permit diabetes patients to take action before imminent hyperglycaemia and hypoglycaemia. A sequential model with one long-short-term memory (LSTM) layer, one bidirectional LSTM layer and several fully connected layers was used to predict blood glucose levels for different prediction horizons. The method was trained and tested on 26 retrospectively analysed datasets from 20 real patients. The proposed network outperforms the baseline methods in terms of all evaluation criteria.
16
Sepp Hochreiter, Jürgen Schmidhuber · Neural Computation · 1997 · 98.1K citations
Diagnosis and Classification of Diabetes Mellitus
Diabetes Care · 2010 · 14K citations · Full text
Diagnosis and Classification of diabetes mellitus
Giuliano Rossi · Diapedia.org eBooks · 2014 · 3.2K citations
An LSTM Network for Highway Trajectory Prediction
Arnaud de La Fortelle · arXiv (Cornell University) · 2018 · 648 citations · Full text