PPHR: A Personalized AI System for Proactive Robots
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-53827-8_24
Reference17 articles.
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4. Chiu, I.M., Cheng, C.Y., Chang, P.K., Li, C.J., Cheng, F.J., Lin, C.R.: Utilization of personalized machine-learning to screen for dysglycemia from ambulatory ECG, toward noninvasive blood glucose monitoring. Biosensors (Basel) 13(1), 23 (2022). PMID: 36671857; PMCID: PMC9855414. https://doi.org/10.3390/bios13010023
5. de Leeuw, A.-W., van der Zwaard, S., van Baar, R., Knobbe, A.: Personalized machine learning approach to injury monitoring in elite volleyball players. Eur. J. Sport Sci. 22, 1–14 (2021). https://doi.org/10.1080/17461391.2021.1887369
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