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1 Ergebnisse
1
Supervised Learning for Non-Invasive Pre-Diabetes, Type 1 a..:
, In:
2023 IEEE 14th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)
,
Sood, Kanika
;
Martinez, Azucena Lizbeth Jimenez
- p. 0821-0829 , 2023
Link:
https://doi.org/10.1109/UEMCON59035.2023.10316009
RT T1
2023 IEEE 14th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)
: T1
Supervised Learning for Non-Invasive Pre-Diabetes, Type 1 and Type 2 Diabetes Screening
UL https://suche.suub.uni-bremen.de/peid=ieee-10316009&Exemplar=1&LAN=DE A1 Sood, Kanika A1 Martinez, Azucena Lizbeth Jimenez YR 2023 K1 Support vector machines K1 Surveillance K1 Supervised learning K1 Prediction algorithms K1 Mobile communication K1 Diabetes K1 Insulin K1 SMOTE K1 ADASYN K1 Random Oversampling K1 Random Under-sampling K1 Random Forest K1 KNN K1 Logistic Regression K1 Decision Tree K1 Linear SVM SP 0821 OP 0829 LK http://dx.doi.org/https://doi.org/10.1109/UEMCON59035.2023.10316009 DO https://doi.org/10.1109/UEMCON59035.2023.10316009 SF ELIB - SuUB Bremen
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