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An NLP-Inspired Data Augmentation Method for Adverse Event ..:
Ishikawa, Tomoki
;
Yakoh, Takahiro
;
Urushihara, Hisashi
IEEE Access. 10 (2022) - p. 81166-81176 , 2022
Link:
https://doi.org/10.1109/access.2022.3195212
RT Journal T1 <Title>An NLP-Inspired Data Augmentation Method for Adverse Event Prediction Using an Imbalanced Healthcare Dataset</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1109_access.2022.3195212&Exemplar=1&LAN=DE A1 Ishikawa, Tomoki A1 Yakoh, Takahiro A1 Urushihara, Hisashi PB Institute of Electrical and Electronics Engineers (IEEE) YR 2022 SN 2169-3536 JF IEEE Access VO 10 SP 81166 OP 81176 LK http://dx.doi.org/https://doi.org/10.1109/access.2022.3195212 DO https://doi.org/10.1109/access.2022.3195212 SF ELIB - SuUB Bremen
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