Published on in Vol 22, No 8 (2020): August
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/18912, first published
.
![A Novel Approach for Continuous Health Status Monitoring and Automatic Detection of Infection Incidences in People With Type 1 Diabetes Using Machine Learning Algorithms (Part 2): A Personalized Digital Infectious Disease Detection Mechanism A Novel Approach for Continuous Health Status Monitoring and Automatic Detection of Infection Incidences in People With Type 1 Diabetes Using Machine Learning Algorithms (Part 2): A Personalized Digital Infectious Disease Detection Mechanism](https://asset.jmir.pub/assets/08a053733bb0994a616d0a7692adb4c6.png 480w,https://asset.jmir.pub/assets/08a053733bb0994a616d0a7692adb4c6.png 960w,https://asset.jmir.pub/assets/08a053733bb0994a616d0a7692adb4c6.png 1920w,https://asset.jmir.pub/assets/08a053733bb0994a616d0a7692adb4c6.png 2500w)
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- Afsaneh E, Sharifdini A, Ghazzaghi H, Ghobadi M. Recent applications of machine learning and deep learning models in the prediction, diagnosis, and management of diabetes: a comprehensive review. Diabetology & Metabolic Syndrome 2022;14(1) View