Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes

Engineering & Materials Science

• Glucose 100%
• Medical problems 97%
• Blood 81%
• Data structures 72%
• Machine learning 64%
• Closed loop systems 14%
• Health 7%
• Availability 7%
• Carbohydrates 7%
• Insulin 6%
• Nutrition 6%
• Self organizing maps 5%
• Feedforward neural networks 5%
• Recurrent neural networks 5%
• Intelligent systems 5%
• Decision support systems 5%
• Computer science 5%
• Hybrid systems 5%
• Deep neural networks 5%
• Data mining 4%
• Support vector machines 4%
• Genetic algorithms 3%
• Controllers 2%

Medicine & Life Sciences

• Machine Learning 99%
• Type 1 Diabetes Mellitus 79%
• Blood Glucose 73%
• Artificial Pancreas 24%
• Technology 13%
• Self-Management 11%
• PubMed 8%
• Genetic Phenomena 7%
• Exercise 6%
• Support Vector Machine 6%
• Data Mining 6%
• Social Conditions 6%
• Health 5%
• Infections 4%
• Hyperglycemia 4%
• Reading 4%
• Carbohydrates 4%
• Patient Selection 4%
• Diabetes Mellitus 4%
• Research Personnel 3%
• Diet 3%
• Insulin 3%
• Databases 3%
• Incidence 2%
• Therapeutics 1%