Optimization assisted ensemble classification for prediction of chronic kidney disease
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11042-024-19610-0.pdf
Reference34 articles.
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2. Chittora P, Chaurasia S, Chakrabarti P, Kumawat G, Chakrabarti T, Leonowicz Z, Jasiński M, Jasiński Ł, Gono R, Jasińska E, Bolshev V (2021) Prediction of chronic kidney disease-a machine learning perspective. IEEE Access 9:17312–17334
3. Hansrivijit P, Chen YJ, Lnu K, Trongtorsak A, Puthenpura MM, Thongprayoon C, Bathini T, Mao MA, Cheungpasitporn W (2021) Prediction of mortality among patients with chronic kidney disease: a systematic review. World J Nephrol 10(4):59
4. Alnazer I, Bourdon P, Urruty T, Falou O, Khalil M, Shahin A, Fernandez-Maloigne C (2021) Recent advances in medical image processing for the evaluation of chronic kidney disease. Med Image Anal 69:101960
5. Mei F, Gao Q, Chen F, Zhao L, Shang Y, Hu K, Zhang W, Zhao B, Ma B (2021) Frailty as a predictor of negative health outcomes in chronic kidney disease: a systematic review and meta-analysis. J Am Med Dir Assoc 22(3):535–543
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