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1 Ergebnisse
1
Adaboost Machine Learning Based Modelling to Predict Chroni..:
, In:
2024 International Conference on Science Technology Engineering and Management (ICSTEM)
,
Renuka, P.
;
Thilagavathi, C.
;
Sathiyanathan, S.
.. - p. 1-7 , 2024
Link:
https://doi.org/10.1109/ICSTEM61137.2024.10560884
RT T1 <cTitle>2024 International Conference on Science Technology Engineering and Management (ICSTEM)</cTitle>: T1 <Title>Adaboost Machine Learning Based Modelling to Predict Chronic Kidney Disease Staging</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10560884&Exemplar=1&LAN=DE A1 Renuka, P. A1 Thilagavathi, C. A1 Sathiyanathan, S. A1 Murugesh, L. A1 Madhumitha, M. YR 2024 K1 Support vector machines K1 Accuracy K1 Neural networks K1 Stochastic processes K1 Predictive models K1 Prediction algorithms K1 Chronic kidney disease K1 Kidney disease K1 Adaptive boosting K1 Information gain K1 chronic K1 cholesterol level K1 prognosis K1 Glomerular Filtration Rate K1 Assessment metrics SP 1 OP 7 LK http://dx.doi.org/https://doi.org/10.1109/ICSTEM61137.2024.10560884 DO https://doi.org/10.1109/ICSTEM61137.2024.10560884 SF ELIB - SuUB Bremen
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