A Prediction Algorithm for Hypoglycemia Based on Support Vector Machine Using Glucose Level and Electrocardiogram-Reference-Cited by-同舟云学术

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A Prediction Algorithm for Hypoglycemia Based on Support Vector Machine Using Glucose Level and Electrocardiogram

Published:2022-09-14 Issue:10 Volume:46 Page:
ISSN:1573-689X
Container-title:Journal of Medical Systems
language:en
Short-container-title:J Med Syst

Author:

Park Jong-Uk,Kim Yeewoong,Lee Yerin,Urtnasan Erdenebayar,Lee Kyoung-Joung^ORCID

Funder

the National Research Foundation of Korea(NRF

Publisher

Springer Science and Business Media LLC

Subject

Health Information Management,Health Informatics,Information Systems,Medicine (miscellaneous)

Link

https://link.springer.com/content/pdf/10.1007/s10916-022-01859-3.pdf

Reference10 articles.

1. Deshpande AD, Harris-Hayes M, Schootman M (2008) Epidemiology of Diabetes and Diabetes-Related Complications. Phys Ther, 88(11):1254–1256. https://doi.org/10.1177/193229681000400104

2. Ahn, W, Kim J T (2012) Blood glucose measurement principles of non-invasive blood glucose meter: Focused on the detection methods of blood glucose. J Biomed Eng Res, 33(3):114–127. https://doi.org/10.9718/JBER.2012.33.3.114

3. Eren-Oruklu M, Cinar A, Quinn L (2010) Hypoglycemia prediction with subject-specific recursive time-series models. J Diabetes Sci Techonol, 4(1):25–33. https://doi.org/10.1177/193229681000400104

4. Deedwania, P (2018) Dangers of Hypoglycemia in Cardiac Patients With Diabetes: Time to Switch to Safer, Newer Drugs. J Am Coll Cardiol, 72(15):1787–1789. https://doi.org/10.1016/j.jacc.2018.08.2138

5. Dubosson F, Ranvier JE, Bromuri S, Calbimonte JP, Ruiz J, Schumacher M (2018) The open D1NAMO dataset: A multi-modal dataset for research on non-invasive type 1 diabetes management. Inform Med Unlocked, 13:92–100. https://doi.org/10.1016/j.imu.2018.09.003

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