Ali Cinar to Algorithms
This is a "connection" page, showing publications Ali Cinar has written about Algorithms.
Connection Strength
2.692
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Improving Glucose Prediction Accuracy in Physically Active Adolescents With Type 1 Diabetes. J Diabetes Sci Technol. 2019 07; 13(4):718-727.
Score: 0.378
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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.
Score: 0.366
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Hypoglycemia Detection and Carbohydrate Suggestion in an Artificial Pancreas. J Diabetes Sci Technol. 2016 11; 10(6):1236-1244.
Score: 0.324
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Classification of Physical Activity: Information to Artificial Pancreas Control Systems in Real Time. J Diabetes Sci Technol. 2015 Oct 06; 9(6):1200-7.
Score: 0.301
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Multivariable Automated Insulin Delivery System for Handling Planned and Spontaneous Physical Activities. J Diabetes Sci Technol. 2023 11; 17(6):1456-1469.
Score: 0.132
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An intelligent system for multivariate statistical process monitoring and diagnosis. ISA Trans. 2002 Apr; 41(2):255-70.
Score: 0.118
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Incorporating Prior Information in Adaptive Model Predictive Control for Multivariable Artificial Pancreas Systems. J Diabetes Sci Technol. 2022 Jan; 16(1):19-28.
Score: 0.115
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Discrimination of simultaneous psychological and physical stressors using wristband biosignals. Comput Methods Programs Biomed. 2021 Feb; 199:105898.
Score: 0.108
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Controlling the AP Controller: Controller Performance Assessment and Modification. J Diabetes Sci Technol. 2019 11; 13(6):1091-1104.
Score: 0.099
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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.
Score: 0.091
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Adaptive and Personalized Plasma Insulin Concentration Estimation for Artificial Pancreas Systems. J Diabetes Sci Technol. 2018 05; 12(3):639-649.
Score: 0.089
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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.
Score: 0.074
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An integrated multivariable artificial pancreas control system. J Diabetes Sci Technol. 2014 May; 8(3):498-507.
Score: 0.068
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Adaptive control of artificial pancreas systems - a review. J Healthc Eng. 2014; 5(1):1-22.
Score: 0.067
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Agent-based modeling of osteogenic differentiation of mesenchymal stem cells in porous biomaterials. Annu Int Conf IEEE Eng Med Biol Soc. 2014; 2014:2924-7.
Score: 0.067
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Multivariable adaptive closed-loop control of an artificial pancreas without meal and activity announcement. Diabetes Technol Ther. 2013 May; 15(5):386-400.
Score: 0.063
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Hypoglycemia early alarm systems based on recursive autoregressive partial least squares models. J Diabetes Sci Technol. 2013 Jan 01; 7(1):206-14.
Score: 0.062
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Intelligent real-time performance monitoring and quality prediction for batch/fed-batch cultivations. J Biotechnol. 2004 Feb 19; 108(1):61-77.
Score: 0.034
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Artificial Intelligence and Machine Learning for Improving Glycemic Control in Diabetes: Best Practices, Pitfalls, and Opportunities. IEEE Rev Biomed Eng. 2024; 17:19-41.
Score: 0.033
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Interpreting ECG data by integrating statistical and artificial intelligence tools. IEEE Eng Med Biol Mag. 2002 Jan-Feb; 21(1):36-41.
Score: 0.029
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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.
Score: 0.021
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Automated Insulin Delivery-The Light at the End of the Tunnel. J Pediatr. 2017 07; 186:17-28.e9.
Score: 0.021
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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.
Score: 0.019
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Hypoglycemia prediction with subject-specific recursive time-series models. J Diabetes Sci Technol. 2010 Jan 01; 4(1):25-33.
Score: 0.013