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

, , , , , , and . Artif. Intell. Medicine, (2019)

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Bimodal biometrics for efficient human recognition using wavelet, principal component analysis and artificial neural network., and . AFRICON, page 251-255. IEEE, (2017)An Early Infectious Disease Outbreak Detection Mechanism Based on Self-Recorded Data from People with Diabetes., , , and . MedInfo, volume 245 of Studies in Health Technology and Informatics, page 619-623. IOS Press, (2017)Approaching adverse event detection utilizing transformers on clinical time-series., , , , and . CoRR, (2023)Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes., , , , , , and . Artif. Intell. Medicine, (2019)Instruction-guided deidentification with synthetic test cases for Norwegian clinical text., , , , and . NLDL, volume 233 of Proceedings of Machine Learning Research, page 145-152. PMLR, (2024)User Expectations and Willingness to Share Self-Collected Health Data., , , , , , , , , and . MIE, volume 270 of Studies in Health Technology and Informatics, page 894-898. IOS Press, (2020)Motivational Factors for User Engagement with mHealth Apps., , , , , , , , and . pHealth, volume 249 of Studies in Health Technology and Informatics, page 151-157. IOS Press, (2018)Reinforcement learning application in diabetes blood glucose control: A systematic review., , and . Artif. Intell. Medicine, (2020)Data-Driven and Artificial Intelligence (AI) Approach for Modelling and Analyzing Healthcare Security Practice: A Systematic Review., , , , and . IntelliSys (1), volume 1250 of Advances in Intelligent Systems and Computing, page 1-18. Springer, (2020)mHealth: Where Is the Potential for Aiding Informal Caregivers?, , , , , , and . MIE, volume 281 of Studies in Health Technology and Informatics, page 885-890. IOS Press, (2021)