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Prediction of chronic kidney disease (CKD) using Data Scien..:
, In:
2019 International Conference on Intelligent Computing and Control Systems (ICCS)
,
Ganapathi Raju, N V
;
Prasanna Lakshmi, K
;
Praharshitha, K. Gayathri
. - p. 642-647 , 2019
Link:
https://doi.org/10.1109/ICCS45141.2019.9065309
RT T1 <cTitle>2019 International Conference on Intelligent Computing and Control Systems (ICCS)</cTitle>: T1 <Title>Prediction of chronic kidney disease (CKD) using Data Science</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9065309&Exemplar=1&LAN=DE A1 Ganapathi Raju, N V A1 Prasanna Lakshmi, K A1 Praharshitha, K. Gayathri A1 Likhitha, Chittampalli YR 2019 K1 Classification algorithms K1 Support vector machines K1 Diseases K1 Prediction algorithms K1 Radio frequency K1 Correlation K1 Kidney K1 chronic kidney disease K1 healthcare K1 data science K1 classification accuracy K1 performance factors SP 642 OP 647 LK http://dx.doi.org/https://doi.org/10.1109/ICCS45141.2019.9065309 DO https://doi.org/10.1109/ICCS45141.2019.9065309 SF ELIB - SuUB Bremen
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