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1 Ergebnisse
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MCICT: Graph convolutional network-based end-to-end model f..:
He, Yao
;
Xiong, Qingyu
;
Ke, Cai
...
Biomedical Signal Processing and Control. 91 (2024) - p. 105873 , 2024
Link:
https://doi.org/10.1016/j.bspc.2023.105873
RT Journal T1 <Title>MCICT: Graph convolutional network-based end-to-end model for multi-label classification of imbalanced clinical text</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.bspc.2023.105873&Exemplar=1&LAN=DE A1 He, Yao A1 Xiong, Qingyu A1 Ke, Cai A1 Wang, Yaqiang A1 Yang, Zhengyi A1 Yi, Hualing A1 Fan, Qilin PB Elsevier BV YR 2024 SN 1746-8094 JF Biomedical Signal Processing and Control VO 91 SP 105873 LK http://dx.doi.org/https://doi.org/10.1016/j.bspc.2023.105873 DO https://doi.org/10.1016/j.bspc.2023.105873 SF ELIB - SuUB Bremen
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