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A LIME-Based Explainable Machine Learning Technique for the..:
, In:
2023 International Conference on Computer, Electronics & Electrical Engineering & their Applications (IC2E3)
,
Vijayvargiya, Ankit
;
Raghav, Aarsh
;
Bhardwaj, Anchal
.. - p. 1-6 , 2023
Link:
https://doi.org/10.1109/IC2E357697.2023.10262425
RT T1
2023 International Conference on Computer, Electronics & Electrical Engineering & their Applications (IC2E3)
: T1
A LIME-Based Explainable Machine Learning Technique for the Risk Prediction of Chronic Kidney Disease
UL https://suche.suub.uni-bremen.de/peid=ieee-10262425&Exemplar=1&LAN=DE A1 Vijayvargiya, Ankit A1 Raghav, Aarsh A1 Bhardwaj, Anchal A1 Gehlot, Naveen A1 Kumar, Rajesh YR 2023 K1 Support vector machines K1 Learning (artificial intelligence) K1 Medical services K1 Predictive models K1 Chronic kidney disease K1 Indexes K1 Potassium K1 Index Terms K1 Chronic Kidney Disease (CKD) K1 Explainable Artificial Intelligence (XAI) K1 Machine Learning (ML) K1 Random Forest (RF) SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/IC2E357697.2023.10262425 DO https://doi.org/10.1109/IC2E357697.2023.10262425 SF ELIB - SuUB Bremen
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