PreCKD_ML: Machine Learning Based Development of Prediction Model for Chronic Kidney Disease and Identify Significant Risk Factors
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-34619-4_10
Reference31 articles.
1. Davis, G., Kurse, A., Agarwal, A., Sheikh-Hamad, D., Kumar, M.R.: Nano-encapsulation strategies to circumvent drug-induced kidney injury and targeted nanomedicines to treat kidney diseases. Current Opinion in Toxicology, p. 100346 (2022)
2. Revathy, S., Bharathi, B., Jeyanthi, P., Ramesh, M.: Chronic kidney disease prediction using machine learning models. Int. J. Eng. Adv. Technol. (IJEAT), 9 (2019)
3. Yashfi, S.Y., Islam, M.A., Sakib, N., Islam, T., Shahbaaz, M., Pantho, S.S.: Risk prediction of chronic kidney disease using machine learning algorithms. In: 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), pp. 1–5. IEEE (2020)
4. Qin, J., Chen, L., Liu, Y., Liu, C., Feng, C., Chen, B.: A machine learning methodology for diagnosing chronic kidney disease. IEEE Access 8, 20991–21002 (2019)
5. Advances in Intelligent Systems and Computing;KM Zubair Hasan,2019
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