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Machine Learning Models for Nocturnal Hypoglycemia Prediction in Hospitalized Patients with Type 1 Diabetes Full article

Journal Journal of Personalized Medicine
ISSN: 2075-4426
Output data Year: 2022, Volume: 12, Number: 8, Pages: 1262 Pages count : 11 DOI: 10.3390/jpm12081262
Tags type 1 diabetes; hypoglycemia; continuous glucose monitoring; machine learning; random forest; artificial neuron networks; prediction
Authors Berikov Vladimir B. 1,2 , Kutnenko Olga A. 2 , Semenova Julia F. 1 , Klimontov Vadim V. 1
Affiliations
1 Laboratory of Endocrinology, Research Institute of Clinical and Experimental Lymphology—Branch of the Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (RICEL—Branch of IC&G SB RAS), 630060 Novosibirsk, Russia
2 Sobolev Institute of Mathematics

Funding (1)

1 Russian Science Foundation 20-15-00057
Cite: Berikov V.B. , Kutnenko O.A. , Semenova J.F. , Klimontov V.V.
Machine Learning Models for Nocturnal Hypoglycemia Prediction in Hospitalized Patients with Type 1 Diabetes
Journal of Personalized Medicine. 2022. V.12. N8. P.1262. DOI: 10.3390/jpm12081262 WOS Scopus РИНЦ OpenAlex
Dates:
Submitted: Jun 21, 2022
Accepted: Jul 19, 2022
Published print: Jul 31, 2022
Identifiers:
Web of science: WOS:000845734700001
Scopus: 2-s2.0-85137414085
Elibrary: 49270112
OpenAlex: W4289174304
Citing:
DB Citing
Scopus 13
Web of science 12
OpenAlex 12
Elibrary 14
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