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1 Ergebnisse
1
Optimizing Diabetes Classification with Support Vector Mach..:
, In:
2023 International Conference on Digital Applications, Transformation & Economy (ICDATE)
,
Wee, Boon Feng
;
Hwong, Harn Hsem
;
Sivakumar, Saaveethya
... - p. 1-5 , 2023
Link:
https://doi.org/10.1109/ICDATE58146.2023.10248600
RT T1 <cTitle>2023 International Conference on Digital Applications, Transformation & Economy (ICDATE)</cTitle>: T1 <Title>Optimizing Diabetes Classification with Support Vector Machine and SMOTEENN-based Feature Selection</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10248600&Exemplar=1&LAN=DE A1 Wee, Boon Feng A1 Hwong, Harn Hsem A1 Sivakumar, Saaveethya A1 Lim, King Hann A1 Wong, W.K. A1 Chew, Ing Ming A1 Tiong, Meng Chung YR 2023 K1 Logistic regression K1 Computational modeling K1 Support vector machine classification K1 Feature extraction K1 Data models K1 Diabetes K1 Task analysis K1 Diabetes detection K1 machine learning K1 SMOTEENN K1 feature selection SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/ICDATE58146.2023.10248600 DO https://doi.org/10.1109/ICDATE58146.2023.10248600 SF ELIB - SuUB Bremen
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