Chronic kidney disease: a prediction and comparison of ensemble and basic classifiers performance

Author:

Chaurasia Vikas,Pandey Mithilesh Kumar,Pal SaurabhORCID

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,General Mathematics

Reference31 articles.

1. Agarwal SK, Srivastava RK (2009) Chronic kidney disease in India: challenges and solutions. Nephron Clin Pract 111(3):c197–c203

2. Akhil KD, Kumar AS, Chidananda K (2021) Adaptive regularized parameter selection based on random projection. Glob Transit Proc 2(1):128–132

3. Bhavsar H, Panchal MH (2012) A review on support vector machine for data classification. Int J Adv Res Comput Eng Technol (IJARCET) 1(10):185–189

4. Bolón-Canedo V, Sánchez-Maroño N, Alonso-Betanzos A (2013) A review of feature selection methods on synthetic data. Knowl Inf Syst 34(3):483–519

5. Chaurasia V, Pal S, Tiwari BB (2018a) Chronic kidney disease: a predictive model using decision tree. Int J Eng Res Technol 11(11):1781–1794

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