On the identification of PoIs in glucosimeter data-Reference-Cited by-同舟云学术

On the identification of PoIs in glucosimeter data

Published:2022-06 Issue: Volume: Page:
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Container-title:2022 IEEE 10th International Conference on Healthcare Informatics (ICHI)
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Author:

Vizza Patrizia¹,Tradigo Giuseppe²,Giancotti Raffaele¹,Scala Francesco³,Guzzi Pietro H¹,Irace Concetta¹,Flesca Sergio⁴,Veltri Pierangelo¹

Affiliation:

1. Magna Graecia University of Catanzaro,Department of Surgical and Medical Science

2. e-Campus University Novedrate (CO),Italy

3. Universita della Calabria

4. DIMES, Universita della Calabria

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9874441/9874443/09874595.pdf?arnumber=9874595

Reference20 articles.

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2. 7. Diabetes Technology: Standards of Medical Care in Diabetes—2022

3. Value of Self-Monitoring Blood Glucose Pattern Analysis in Improving Diabetes Outcomes;christopher;J Diabetes Sci Technol,2009

4. Diabetes Technology and Therapeutics Vol;comellas;Evaluation of a New Digital Automated Glycemic Pattern Detection Tool,2017

5. H-Ferritin Affects Cisplatin-Induced Cytotoxicity in Ovarian Cancer Cells through the Modulation of ROS

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