Assessment of linear regression techniques for modeling multisensor data for non-invasive continuous glucose monitoring.

MLA

Zanon, Mattia, et al. “Assessment of Linear Regression Techniques for Modeling Multisensor Data for Non-Invasive Continuous Glucose Monitoring.” Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, vol. 2011, 2011, pp. 2538–41. EBSCOhost, https://doi.org/10.1109/IEMBS.2011.6090702.

APA

Zanon, M., Riz, M., Sparacino, G., Facchinetti, A., Suri, R. E., Talary, M. S., & Cobelli, C. (2011). Assessment of linear regression techniques for modeling multisensor data for non-invasive continuous glucose monitoring. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2011, 2538–2541. https://doi.org/10.1109/IEMBS.2011.6090702

Chicago

Zanon, Mattia, Michela Riz, Giovanni Sparacino, Andrea Facchinetti, Roland E Suri, Mark S Talary, and Claudio Cobelli. 2011. “Assessment of Linear Regression Techniques for Modeling Multisensor Data for Non-Invasive Continuous Glucose Monitoring.” Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 2011: 2538–41. doi:10.1109/IEMBS.2011.6090702.