Christopher J. Nolan

According to our database, Christopher J. Nolan authored at least 8 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

G2P2C - A modular reinforcement learning algorithm for glucose control by glucose prediction and planning in Type 1 Diabetes.

Chirath Hettiarachchi, Nicolò Malagutti, Christopher J. Nolan, Hanna Suominen, Elena Daskalaki

Biomed. Signal Process. Control., 2024

2023

Ensuring security of artificial pancreas device system using homomorphic encryption.

Haotian Weng, Chirath Hettiarachchi, Christopher J. Nolan, Hanna Suominen, Artem Lenskiy

Biomed. Signal Process. Control., 2023

Jointly Predicting Postprandial Hypoglycemia and Hyperglycemia Using Continuous Glucose Monitoring Data in Type 1 Diabetes.

Ran Cui, Christopher J. Nolan, Elena Daskalaki, Hanna Suominen

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

A Reinforcement Learning Based System for Blood Glucose Control without Carbohydrate Estimation in Type 1 Diabetes: In Silico Validation.

Chirath Hettiarachchi, Nicolò Malagutti, Christopher J. Nolan, Eleni Daskalaki, Hanna Suominen

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Non-linear Continuous Action Spaces for Reinforcement Learning in Type 1 Diabetes.

Chirath Hettiarachchi, Nicolò Malagutti, Christopher J. Nolan, Hanna Suominen, Elena Daskalaki

Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022

2021

Comparison of Word and Character Level Information for Medical Term Identification Using Convolutional Neural Networks and Transformers.

Sandaru Seneviratne, Artem Lenskiy, Christopher J. Nolan, Eleni Daskalaki, Hanna Suominen

Proceedings of the Nurses and Midwives in the Digital Age - Selected Papers, Posters and Panels from the 15th International Congress in Nursing Informatics, Virtual Event, 23 August, 2021

A Significance Assessment of Diabetes Diagnostic Biomarkers Using Machine Learning.

Ran Cui, Elena Daskalaki, Md. Zakir Hossain, Artem Lenskiy, Christopher J. Nolan, Hanna Suominen

Proceedings of the Nurses and Midwives in the Digital Age - Selected Papers, Posters and Panels from the 15th International Congress in Nursing Informatics, Virtual Event, 23 August, 2021

Personalised Short-Term Glucose Prediction via Recurrent Self-Attention Network.

Ran Cui, Chirath Hettiarachchi, Christopher J. Nolan, Elena Daskalaki, Hanna Suominen

Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021