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1
Predicting Adverse Events for Patients with Type-1 Diabetes..:
, In:
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
,
Zheng, Xinzhe
;
Ji, Sijie
;
Wu, Chenshu
- p. 1526-1530 , 2024
Link:
https://doi.org/10.1109/ICASSP48485.2024.10446832
RT T1 <cTitle>ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)</cTitle>: T1 <Title>Predicting Adverse Events for Patients with Type-1 Diabetes Via Self-Supervised Learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10446832&Exemplar=1&LAN=DE A1 Zheng, Xinzhe A1 Ji, Sijie A1 Wu, Chenshu YR 2024 SN 2379-190X K1 Sensitivity K1 Self-supervised learning K1 Benchmark testing K1 Signal processing K1 Data augmentation K1 Glucose K1 Diabetes K1 type-1 diabetes K1 glucose prediction K1 self-supervised learning K1 hyperglycemia K1 hypoglycemia SP 1526 OP 1530 LK http://dx.doi.org/https://doi.org/10.1109/ICASSP48485.2024.10446832 DO https://doi.org/10.1109/ICASSP48485.2024.10446832 SF ELIB - SuUB Bremen
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