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1 Ergebnisse
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A Study of Fatty Liver Prediction Model Based on XGBoost an..:
, In:
2023 International Conference on Computer Applications Technology (CCAT)
,
Deng, Junyu
;
Li, Daiwei
;
Zhang, Haiqing
. - p. 17-22 , 2023
Link:
https://doi.org/10.1109/CCAT59108.2023.00011
RT T1 <cTitle>2023 International Conference on Computer Applications Technology (CCAT)</cTitle>: T1 <Title>A Study of Fatty Liver Prediction Model Based on XGBoost and SHAP</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10410359&Exemplar=1&LAN=DE A1 Deng, Junyu A1 Li, Daiwei A1 Zhang, Haiqing A1 Yu, Xi YR 2023 K1 Support vector machines K1 Computational modeling K1 Liver K1 Predictive models K1 Feature extraction K1 Prediction algorithms K1 Random forests K1 fatty liver prediction K1 feature selection K1 XGBoost algorithm K1 SHAP method SP 17 OP 22 LK http://dx.doi.org/https://doi.org/10.1109/CCAT59108.2023.00011 DO https://doi.org/10.1109/CCAT59108.2023.00011 SF ELIB - SuUB Bremen
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