A machine learning-based early diagnosis model for chronic kidney disease using SPegasos
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s13721-024-00457-2.pdf
Reference23 articles.
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3. Cha’on U, Wongtrangan K, Thinkhamrop B, Tatiyanupanwong S, Limwattananon C, Pongskul C, Panaput T, Chalermwat C, Lert-Itthiporn W, Sharma A (2020) CKDNET, a quality improvement project for prevention and reduction of chronic kidney disease in the Northeast Thailand. BMC Public Health 20:1–11
4. Chang Y-P, Liao C-M, Wang L-H, Hu H-H, Lin C-M (2021) Static and dynamic prediction of chronic renal disease progression using longitudinal clinical data from Taiwan’s national prevention programs. J Clin Med 10(14):3085
5. Chaudhuri AK, Sinha D, Banerjee DK, Das A (2021) A novel enhanced decision tree model for detecting chronic kidney disease. Netw Model Anal Health Inf Bioinf 10:1–22
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