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Connection

Ali Cinar to Diabetes Mellitus, Type 1

This is a "connection" page, showing publications Ali Cinar has written about Diabetes Mellitus, Type 1.
Connection Strength

9.553
  1. Multivariable Automated Insulin Delivery System for Handling Planned and Spontaneous Physical Activities. J Diabetes Sci Technol. 2023 11; 17(6):1456-1469.
    View in: PubMed
    Score: 0.611
  2. A physical activity-intensity driven glycemic model for type 1 diabetes. Comput Methods Programs Biomed. 2022 Nov; 226:107153.
    View in: PubMed
    Score: 0.566
  3. Detection of Meals and Physical Activity Events From Free-Living Data of People With Diabetes. J Diabetes Sci Technol. 2023 11; 17(6):1482-1492.
    View in: PubMed
    Score: 0.555
  4. Incorporating Prior Information in Adaptive Model Predictive Control for Multivariable Artificial Pancreas Systems. J Diabetes Sci Technol. 2022 Jan; 16(1):19-28.
    View in: PubMed
    Score: 0.535
  5. Physical Activity and Psychological Stress Detection and Assessment of Their Effects on Glucose Concentration Predictions in Diabetes Management. IEEE Trans Biomed Eng. 2021 07; 68(7):2251-2260.
    View in: PubMed
    Score: 0.518
  6. Sleep quality and glycaemic variability in a real-life setting in adults with type 1 diabetes. Diabetologia. 2021 10; 64(10):2159-2169.
    View in: PubMed
    Score: 0.518
  7. Controlling the AP Controller: Controller Performance Assessment and Modification. J Diabetes Sci Technol. 2019 11; 13(6):1091-1104.
    View in: PubMed
    Score: 0.460
  8. Improving Glucose Prediction Accuracy in Physically Active Adolescents With Type 1 Diabetes. J Diabetes Sci Technol. 2019 07; 13(4):718-727.
    View in: PubMed
    Score: 0.438
  9. Adaptive and Personalized Plasma Insulin Concentration Estimation for Artificial Pancreas Systems. J Diabetes Sci Technol. 2018 05; 12(3):639-649.
    View in: PubMed
    Score: 0.414
  10. Automatic Detection and Estimation of Unannounced Meals for Multivariable Artificial Pancreas System. Diabetes Technol Ther. 2018 03; 20(3):235-246.
    View in: PubMed
    Score: 0.411
  11. Agent-based modeling of the interaction between CD8+ T cells and Beta cells in type 1 diabetes. PLoS One. 2018; 13(1):e0190349.
    View in: PubMed
    Score: 0.408
  12. Multivariable Adaptive Artificial Pancreas System in Type 1 Diabetes. Curr Diab Rep. 2017 08 15; 17(10):88.
    View in: PubMed
    Score: 0.397
  13. Hypoglycemia Detection and Carbohydrate Suggestion in an Artificial Pancreas. J Diabetes Sci Technol. 2016 11; 10(6):1236-1244.
    View in: PubMed
    Score: 0.376
  14. Real-Time Model-Based Fault Detection of Continuous Glucose Sensor Measurements. IEEE Trans Biomed Eng. 2017 07; 64(7):1437-1445.
    View in: PubMed
    Score: 0.359
  15. Classification of Physical Activity: Information to Artificial Pancreas Control Systems in Real Time. J Diabetes Sci Technol. 2015 Oct 06; 9(6):1200-7.
    View in: PubMed
    Score: 0.349
  16. Meal Detection in Patients With Type 1 Diabetes: A New Module for the Multivariable Adaptive Artificial Pancreas Control System. IEEE J Biomed Health Inform. 2016 Jan; 20(1):47-54.
    View in: PubMed
    Score: 0.342
  17. An integrated multivariable artificial pancreas control system. J Diabetes Sci Technol. 2014 May; 8(3):498-507.
    View in: PubMed
    Score: 0.315
  18. Adaptive control of artificial pancreas systems - a review. J Healthc Eng. 2014; 5(1):1-22.
    View in: PubMed
    Score: 0.309
  19. Multivariable adaptive closed-loop control of an artificial pancreas without meal and activity announcement. Diabetes Technol Ther. 2013 May; 15(5):386-400.
    View in: PubMed
    Score: 0.293
  20. Consensus Report on Glucagon-Like Peptide-1 Receptor Agonists as Adjunctive Treatment for Individuals With Type 1 Diabetes Using an Automated Insulin Delivery System. J Diabetes Sci Technol. 2025 Jan; 19(1):191-216.
    View in: PubMed
    Score: 0.164
  21. Seasonal Local Models for Glucose Prediction in Type 1 Diabetes. IEEE J Biomed Health Inform. 2020 07; 24(7):2064-2072.
    View in: PubMed
    Score: 0.116
  22. No Disadvantage to Insulin Pump Off vs Pump On During Intermittent High-Intensity Exercise in Adults With Type 1 Diabetes. Can J Diabetes. 2020 Mar; 44(2):162-168.
    View in: PubMed
    Score: 0.113
  23. Multivariable Artificial Pancreas for Various Exercise Types and Intensities. Diabetes Technol Ther. 2018 10; 20(10):662-671.
    View in: PubMed
    Score: 0.107
  24. Incorporating Unannounced Meals and Exercise in Adaptive Learning of Personalized Models for Multivariable Artificial Pancreas Systems. J Diabetes Sci Technol. 2018 09; 12(5):953-966.
    View in: PubMed
    Score: 0.106
  25. Considering Plasma Insulin Concentrations in Adaptive Model Predictive Control for Artificial Pancreas Systems. Annu Int Conf IEEE Eng Med Biol Soc. 2018 Jul; 2018:4452-4455.
    View in: PubMed
    Score: 0.105
  26. A Pilot Study Validating Select Research-Grade and Consumer-Based Wearables Throughout a Range of Dynamic Exercise Intensities in Persons With and Without Type 1 Diabetes: A Novel Approach. J Diabetes Sci Technol. 2018 05; 12(3):569-576.
    View in: PubMed
    Score: 0.102
  27. The Effects of Basal Insulin Suspension at the Start of Exercise on Blood Glucose Levels During Continuous Versus Circuit-Based Exercise in Individuals with Type 1 Diabetes on Continuous Subcutaneous Insulin Infusion. Diabetes Technol Ther. 2017 06; 19(6):370-378.
    View in: PubMed
    Score: 0.098
  28. Automated Insulin Delivery-The Light at the End of the Tunnel. J Pediatr. 2017 07; 186:17-28.e9.
    View in: PubMed
    Score: 0.097
  29. Outcome Measures for Artificial Pancreas Clinical Trials: A Consensus Report. Diabetes Care. 2016 Jul; 39(7):1175-9.
    View in: PubMed
    Score: 0.092
  30. Exercise and the Development of the Artificial Pancreas: One of the More Difficult Series of Hurdles. J Diabetes Sci Technol. 2015 Oct 01; 9(6):1217-26.
    View in: PubMed
    Score: 0.087
  31. Multivariable adaptive identification and control for artificial pancreas systems. IEEE Trans Biomed Eng. 2014 Mar; 61(3):883-91.
    View in: PubMed
    Score: 0.078
  32. Hypoglycemia prediction with subject-specific recursive time-series models. J Diabetes Sci Technol. 2010 Jan 01; 4(1):25-33.
    View in: PubMed
    Score: 0.059
  33. Estimation of future glucose concentrations with subject-specific recursive linear models. Diabetes Technol Ther. 2009 Apr; 11(4):243-53.
    View in: PubMed
    Score: 0.056
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.