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A Complete AI-Based System for Dietary Assessment and Personalized Insulin Adjustment in Type 1 Diabetes Self-management. / Panagiotou, Maria; Papathanail, Ioannis; Rahman, Lubnaa Abdur; Brigato, Lorenzo; Bez, Natalie S.; Vasiloglou, Maria F.; Stathopoulou, Thomai; de Galan, Bastiaan E.; Pedersen-Bjergaard, Ulrik; van der Horst, Klazine; Mougiakakou, Stavroula.
Computer Analysis of Images and Patterns - 20th International Conference, CAIP 2023, Proceedings. red. / Nicolas Tsapatsoulis; Andreas Lanitis; Marios Pattichis; Constantinos Pattichis; Christos Kyrkou; Efthyvoulos Kyriacou; Zenonas Theodosiou; Andreas Panayides. Springer, 2023. s. 77-86 (Lecture Notes in Computer Science, Bind 14185).
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Harvard
Panagiotou, M, Papathanail, I, Rahman, LA, Brigato, L, Bez, NS, Vasiloglou, MF, Stathopoulou, T, de Galan, BE
, Pedersen-Bjergaard, U, van der Horst, K & Mougiakakou, S 2023,
A Complete AI-Based System for Dietary Assessment and Personalized Insulin Adjustment in Type 1 Diabetes Self-management. i N Tsapatsoulis, A Lanitis, M Pattichis, C Pattichis, C Kyrkou, E Kyriacou, Z Theodosiou & A Panayides (red),
Computer Analysis of Images and Patterns - 20th International Conference, CAIP 2023, Proceedings. Springer, Lecture Notes in Computer Science, bind 14185, s. 77-86, 20th International Conference on Computer Analysis of Images and Patterns, CAIP 2023, Limassol, Cypern,
25/09/2023.
https://doi.org/10.1007/978-3-031-44240-7_8APA
Panagiotou, M., Papathanail, I., Rahman, L. A., Brigato, L., Bez, N. S., Vasiloglou, M. F., Stathopoulou, T., de Galan, B. E.
, Pedersen-Bjergaard, U., van der Horst, K., & Mougiakakou, S. (2023).
A Complete AI-Based System for Dietary Assessment and Personalized Insulin Adjustment in Type 1 Diabetes Self-management. I N. Tsapatsoulis, A. Lanitis, M. Pattichis, C. Pattichis, C. Kyrkou, E. Kyriacou, Z. Theodosiou, & A. Panayides (red.),
Computer Analysis of Images and Patterns - 20th International Conference, CAIP 2023, Proceedings (s. 77-86). Springer. Lecture Notes in Computer Science Bind 14185
https://doi.org/10.1007/978-3-031-44240-7_8Vancouver
Panagiotou M, Papathanail I, Rahman LA, Brigato L, Bez NS, Vasiloglou MF o.a.
A Complete AI-Based System for Dietary Assessment and Personalized Insulin Adjustment in Type 1 Diabetes Self-management. I Tsapatsoulis N, Lanitis A, Pattichis M, Pattichis C, Kyrkou C, Kyriacou E, Theodosiou Z, Panayides A, red., Computer Analysis of Images and Patterns - 20th International Conference, CAIP 2023, Proceedings. Springer. 2023. s. 77-86. (Lecture Notes in Computer Science, Bind 14185).
https://doi.org/10.1007/978-3-031-44240-7_8Author
Panagiotou, Maria ; Papathanail, Ioannis ; Rahman, Lubnaa Abdur ; Brigato, Lorenzo ; Bez, Natalie S. ; Vasiloglou, Maria F. ; Stathopoulou, Thomai ; de Galan, Bastiaan E. ; Pedersen-Bjergaard, Ulrik ; van der Horst, Klazine ; Mougiakakou, Stavroula. / A Complete AI-Based System for Dietary Assessment and Personalized Insulin Adjustment in Type 1 Diabetes Self-management. Computer Analysis of Images and Patterns - 20th International Conference, CAIP 2023, Proceedings. red. / Nicolas Tsapatsoulis ; Andreas Lanitis ; Marios Pattichis ; Constantinos Pattichis ; Christos Kyrkou ; Efthyvoulos Kyriacou ; Zenonas Theodosiou ; Andreas Panayides. Springer, 2023. s. 77-86 (Lecture Notes in Computer Science, Bind 14185).
Bibtex
@inproceedings{2b3069a6ca484159a7765e31d03b70f7,
title = "A Complete AI-Based System for Dietary Assessment and Personalized Insulin Adjustment in Type 1 Diabetes Self-management",
abstract = "People living with type 1 diabetes (PwT1D) face multiple challenges in self-managing their blood glucose levels, including the need for accurate carbohydrate counting, and the requirements of adjusting insulin dosage. Our paper aims to alleviate the demands of diabetes self-management by developing a complete system that employs computer vision to estimate the carbohydrate content of meals and utilizes reinforcement learning to personalize insulin dosing. Our findings demonstrate that this system results in a significantly greater percentage of time spent in the target glucose range compared to the combined standard bolus calculator treatment and carbohydrate counting. This approach could potentially improve glycaemic control for PwT1D and reduce the burden of carbohydrate and insulin dosage estimations.",
keywords = "Computer Vision, Deep Learning, Diabetes, Dietary Assessment, Reinforcement Learning",
author = "Maria Panagiotou and Ioannis Papathanail and Rahman, {Lubnaa Abdur} and Lorenzo Brigato and Bez, {Natalie S.} and Vasiloglou, {Maria F.} and Thomai Stathopoulou and {de Galan}, {Bastiaan E.} and Ulrik Pedersen-Bjergaard and {van der Horst}, Klazine and Stavroula Mougiakakou",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.; 20th International Conference on Computer Analysis of Images and Patterns, CAIP 2023 ; Conference date: 25-09-2023 Through 28-09-2023",
year = "2023",
doi = "10.1007/978-3-031-44240-7_8",
language = "English",
isbn = "978-3-031-44239-1",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "77--86",
editor = "Nicolas Tsapatsoulis and Andreas Lanitis and Marios Pattichis and Constantinos Pattichis and Christos Kyrkou and Efthyvoulos Kyriacou and Zenonas Theodosiou and Andreas Panayides",
booktitle = "Computer Analysis of Images and Patterns - 20th International Conference, CAIP 2023, Proceedings",
address = "Switzerland",
}
RIS
TY - GEN
T1 - A Complete AI-Based System for Dietary Assessment and Personalized Insulin Adjustment in Type 1 Diabetes Self-management
AU - Panagiotou, Maria
AU - Papathanail, Ioannis
AU - Rahman, Lubnaa Abdur
AU - Brigato, Lorenzo
AU - Bez, Natalie S.
AU - Vasiloglou, Maria F.
AU - Stathopoulou, Thomai
AU - de Galan, Bastiaan E.
AU - Pedersen-Bjergaard, Ulrik
AU - van der Horst, Klazine
AU - Mougiakakou, Stavroula
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.
PY - 2023
Y1 - 2023
N2 - People living with type 1 diabetes (PwT1D) face multiple challenges in self-managing their blood glucose levels, including the need for accurate carbohydrate counting, and the requirements of adjusting insulin dosage. Our paper aims to alleviate the demands of diabetes self-management by developing a complete system that employs computer vision to estimate the carbohydrate content of meals and utilizes reinforcement learning to personalize insulin dosing. Our findings demonstrate that this system results in a significantly greater percentage of time spent in the target glucose range compared to the combined standard bolus calculator treatment and carbohydrate counting. This approach could potentially improve glycaemic control for PwT1D and reduce the burden of carbohydrate and insulin dosage estimations.
AB - People living with type 1 diabetes (PwT1D) face multiple challenges in self-managing their blood glucose levels, including the need for accurate carbohydrate counting, and the requirements of adjusting insulin dosage. Our paper aims to alleviate the demands of diabetes self-management by developing a complete system that employs computer vision to estimate the carbohydrate content of meals and utilizes reinforcement learning to personalize insulin dosing. Our findings demonstrate that this system results in a significantly greater percentage of time spent in the target glucose range compared to the combined standard bolus calculator treatment and carbohydrate counting. This approach could potentially improve glycaemic control for PwT1D and reduce the burden of carbohydrate and insulin dosage estimations.
KW - Computer Vision
KW - Deep Learning
KW - Diabetes
KW - Dietary Assessment
KW - Reinforcement Learning
U2 - 10.1007/978-3-031-44240-7_8
DO - 10.1007/978-3-031-44240-7_8
M3 - Article in proceedings
AN - SCOPUS:85174441191
SN - 978-3-031-44239-1
T3 - Lecture Notes in Computer Science
SP - 77
EP - 86
BT - Computer Analysis of Images and Patterns - 20th International Conference, CAIP 2023, Proceedings
A2 - Tsapatsoulis, Nicolas
A2 - Lanitis, Andreas
A2 - Pattichis, Marios
A2 - Pattichis, Constantinos
A2 - Kyrkou, Christos
A2 - Kyriacou, Efthyvoulos
A2 - Theodosiou, Zenonas
A2 - Panayides, Andreas
PB - Springer
T2 - 20th International Conference on Computer Analysis of Images and Patterns, CAIP 2023
Y2 - 25 September 2023 through 28 September 2023
ER -
