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Using mechanistic machine learning to forecast glucose and infer physiologic phenotypes in the ICU: what is possible and what are the challenges.

, , , , , и . AMIA, AMIA, (2018)

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Wallace Kwesi Bruce-Tamakloe

Cecil Bruce-Boye

Beate Maria Bruce-Micah

Annette Bruce

Regina Beatrice Bruce-Micah

 

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Control of Traveling Waves in the Mammalian Cortex, , и . Phys. Rev. Lett., 94 (2): 028103 (2005)Seizure Modulation with Applied Electric Fields in Chronically Implanted Animals., , , , , , и . EMBC, стр. 1612-1615. IEEE, (2006)The breakdown of Synchronization in Systems of Nonidentical Chaotic oscillators: Theory and Experiment., , , и . Int. J. Bifurc. Chaos, 11 (10): 2705-2714 (2001)Personalized medicine beyond genetics: using personalized model-based forecasting to help type 2 diabetics understand and predict their post-meal glucose., , , , и . AMIA, AMIA, (2015)Why predicting postprandial glucose using self-monitoring data is difficult., , , , и . AMIA, AMIA, (2017)The neural basis for sleep regulation - Data assimilation from animal to model., , , , и . ACSSC, стр. 1061-1065. IEEE, (2016)Optimal-channel Selection Algorithms in Mental Tasks based Brain-computer Interface., , , , и . ICBBB, стр. 118-123. ACM, (2018)Data assimilation of glucose dynamics for use in the intensive care unit., , и . EMBC, стр. 5437-5440. IEEE, (2012)Lessons learned from assimilating knowledge into machine learning to forecast and control glucose in a critical care setting., , , , , , , и . AMIA, AMIA, (2020)Toward a Wearable Data Assimilation Platform., , и . BioCAS, стр. 1-4. IEEE, (2019)