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1 Ergebnisse
1
PheME: A deep ensemble framework for improving phenotype pr..:
, In:
2023 IEEE 11th International Conference on Healthcare Informatics (ICHI)
,
Zhang, Shenghan
;
Li, Haoxuan
;
Tang, Ruixiang
... - p. 268-275 , 2023
Link:
https://doi.org/10.1109/ICHI57859.2023.00044
RT T1 <cTitle>2023 IEEE 11th International Conference on Healthcare Informatics (ICHI)</cTitle>: T1 <Title>PheME: A deep ensemble framework for improving phenotype prediction from multi-modal data</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10337197&Exemplar=1&LAN=DE A1 Zhang, Shenghan A1 Li, Haoxuan A1 Tang, Ruixiang A1 Ding, Sirui A1 Rasmy, Laila A1 Zhi, Degui A1 Zou, Na A1 Hu, Xia YR 2023 SN 2575-2634 K1 Training K1 Pipelines K1 Medical services K1 Predictive models K1 Multilayer perceptrons K1 Prediction algorithms K1 Ensemble learning K1 Phenotype Prediction K1 Multi-Modal Data K1 Ensemble Learning K1 Natural Language Processing SP 268 OP 275 LK http://dx.doi.org/https://doi.org/10.1109/ICHI57859.2023.00044 DO https://doi.org/10.1109/ICHI57859.2023.00044 SF ELIB - SuUB Bremen
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