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1 Ergebnisse
1
Risk Prediction Modeling for Breast Cancer using Supervised..:
, In:
2023 2nd International Conference on Automation, Computing and Renewable Systems (ICACRS)
,
Rajendran, T.
;
Rajathi, S.Anitha
;
Balakrishnan, C.
... - p. 702-708 , 2023
Link:
https://doi.org/10.1109/ICACRS58579.2023.10404482
RT T1 <cTitle>2023 2nd International Conference on Automation, Computing and Renewable Systems (ICACRS)</cTitle>: T1 <Title>Risk Prediction Modeling for Breast Cancer using Supervised Machine Learning Approaches</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10404482&Exemplar=1&LAN=DE A1 Rajendran, T. A1 Rajathi, S.Anitha A1 Balakrishnan, C. A1 Aswini, J. A1 Prakash, R.Banu A1 Siva Subramanian, R YR 2023 K1 Support vector machines K1 Radio frequency K1 Logistic regression K1 Sensitivity K1 Artificial neural networks K1 Predictive models K1 Breast cancer K1 Cancer K1 Random Forest K1 Machine Learning K1 Artificial Intelligence K1 Artificial Neural Networks SP 702 OP 708 LK http://dx.doi.org/https://doi.org/10.1109/ICACRS58579.2023.10404482 DO https://doi.org/10.1109/ICACRS58579.2023.10404482 SF ELIB - SuUB Bremen
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