Research Output per year
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output
Machine Learning-Based Adherence Detection of Type 2 Diabetes Patients on Once-Daily Basal Insulin Injections
Thyde, D. N., Mohebbi, A., Bengtsson, H., Jensen, M. L. & Mørup, M., 2020, (Accepted/In press) In : Journal of Diabetes Science and Technology. 11 p.Research output: Contribution to journal › Journal article › Research › peer-review
Fast Assessment of Glycemic Control based on Continuous Glucose Monitoring Data
Mohebbi, A., Tarp, J. M., Jensen, M. L., Puthusserypady, S., Hachmann-Nielsen, E., Bengtsson, H. & Mørup, M., 2019, Proceedings of 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, p. 7185-7188Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
A deep learning approach to adherence detection for type 2 diabetics
Mohebbi, A., Aradóttir, T. B., Johansen, A. R., Bengtsson, H., Fraccaro, M. & Mørup, M., 2017, Proceedings of 2017 39th Annual International Conference of the Ieee Engineering in Medicine and Biology Society. IEEE, p. 2896-9 (2017 39th Annual International Conference of the Ieee Engineering in Medicine and Biology Society (embc)).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Optimal pseudorandom sequence selection for online c-VEP based BCI control applications
Isaksen, J. L., Mohebbi, A. & Puthusserypady, S., 1 Sep 2017, In : PLOS ONE. 12, 9, 13 p., e0184785.Research output: Contribution to journal › Journal article › Research › peer-review
Open Access
File
A comparative study of pseudorandom sequences used in a c-VEP based BCI for online wheelchair control
Isaksen, J. L., Mohebbi, A. & Puthusserypady, S., 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society . IEEE, p. 1512-15Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Projects
- 1 Active
Improving diabetes treatment outcome by utilizing CGM and insulin injection data for machine learning based decision support
Mohebbi, A., Mørup, M., Puthusserypady, S. & Stallknecht, B. M.
01/10/2018 → 30/09/2021
Project: PhD