Prediction of Tuberculosis Patients’ Treatment Outcomes Using Multinomial Naive Bayes Algorithm and Class-Imbalanced Data
In: IEEE IAS Global Conference on Emerging Technologies (GlobConET); (2023-05-19) S. 1-6
Online
Konferenz
Zugriff:
Titel: |
Prediction of Tuberculosis Patients’ Treatment Outcomes Using Multinomial Naive Bayes Algorithm and Class-Imbalanced Data
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Autor/in / Beteiligte Person: | Foh, Wei Lian Willian ; Ang, Sau Loong ; Lim, Chia Yean ; Alaga, Arvindran A-L ; Yeap, Gik Hong |
Link: | |
Quelle: | IEEE IAS Global Conference on Emerging Technologies (GlobConET); (2023-05-19) S. 1-6 |
Veröffentlichung: | 2023 |
Medientyp: | Konferenz |
ISBN: | 979-8-3503-3179-0 (print) |
DOI: | 10.1109/GlobConET56651.2023.10150132 |
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