references.md

Global References

References that capture high level references for all projects.

General Machine Learning for Diabetes

• Recent applications of machine learning and deep learning models in the prediction, diagnosis, and management of diabetes: a comprehensive review
• The Diabetes Technology Society Error Grid and Trend Accuracy Matrix for Glucose Monitors

Project Specific Papers

Meal Identification / Anomaly Detection

• Data-Driven Blood Glucose Pattern Classification and Anomalies Detection: Machine-Learning Applications in Type 1 Diabetes
• Identification of the Optimal Meal Detection Strategy for Adults, Adolescents, and Children with Type 1 Diabetes: an in Silico Validation
• An LSTM-based Approach Towards Automated Meal Detection from Continuous Glucose Monitoring in Type 1 Diabetes Mellitus
• Automated meal detection from continuous glucose monitor data through simulation and explanation
• Time Series Segmentation with sktime and ClaSP

Reinforcement Learning for Blood Glucose Control

• Deep Reinforcement Learning for Closed-Loop Blood Glucose Control

Nocturnal Hypoglycemic Forecasting

• Fear of Hypoglycemia and Diabetes Distress: Expected Reduction by Glucose Prediction
• Deep Multi-Output Forecasting: Learning to Accurately Predict Blood Glucose Trajectories

Time Series

Time Series Video Tutorials

• Franz Kiraly: sktime - python toolbox for time series: advanced forecasting

Time Series Representation Learning

• Universal Time-Series Representation Learning: A Survey
• Segment, Shuffle, and Stitch: A Simple Layer for Improving Time-Series Representations

Causal Modelling

Textbooks:

• Causality - Judea Pearl (gold standard)
• Causal Inference for The Brave and True
• The Effect: An Introduction to Research Design and Causality

Causal Modeling Papers - General

• Causal Machine Learning: A Survey and Open Problems
• Awesome Causality Algorithms and Papers
• Causal Inference Applications in the Industry
• Improving the accuracy of medical diagnosis with causal machine learning

Causal Modeling - Time Series

• Causal inference for time series analysis: problems, methods and evaluation
• Survey and Evaluation of Causal Discovery Methods for Time Series
• Causal inference for time series
• A Survey of Deep Causal Models and Their Industrial Applications
• Causal Inference with Time-Series Cross-Sectional Data: A Reflection

Causal Modeling Idea Example: Insulin Bolus Timing

• Insulearn