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1 Ergebnisse
1
Prediction of Tuberculosis Patients' Treatment Outcomes Usi..:
, In:
2023 IEEE IAS Global Conference on Emerging Technologies (GlobConET)
,
Foh, Wei Lian Willian
;
Ang, Sau Loong
;
Lim, Chia Yean
.. - p. 1-6 , 2023
Link:
https://doi.org/10.1109/GlobConET56651.2023.10150132
RT T1 <cTitle>2023 IEEE IAS Global Conference on Emerging Technologies (GlobConET)</cTitle>: T1 <Title>Prediction of Tuberculosis Patients' Treatment Outcomes Using Multinomial Naive Bayes Algorithm and Class-Imbalanced Data</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10150132&Exemplar=1&LAN=DE A1 Foh, Wei Lian Willian A1 Ang, Sau Loong A1 Lim, Chia Yean A1 Alaga, Arvindran A-L A1 Yeap, Gik Hong YR 2023 K1 Tuberculosis K1 Machine learning K1 Predictive models K1 Prediction algorithms K1 Naive Bayes methods K1 Resource management K1 Clinical diagnosis K1 class-imbalanced K1 SMOTE K1 Naive Bayes K1 treatment outcome prediction SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/GlobConET56651.2023.10150132 DO https://doi.org/10.1109/GlobConET56651.2023.10150132 SF ELIB - SuUB Bremen
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