Publisher
Springer Science and Business Media LLC
Reference34 articles.
1. Aljaaf, A.J. 2018 Early Prediction of Chronic Kidney Disease Using Machine Learning Supported by Predictive Analytics. In Proceedings of the IEEE Congress on Evolutionary Computation (CEC). Wellington. New Zealand
2. A. Nishanth, T. Thiruvaran, Identifying important attributes for early detection of chronic kidney disease. IEEE Rev. Biomed. Eng. 11, 208–216 (2018)
3. A. Ogunleye, Q.-G. Wang, XGBoost model for chronic kidney disease diagnosis. IEEE/ACM Trans. Comput. Biol. Bioinform. 17, 2131–2140 (2020)
4. F. Aqlan, R. Markle, A. Shamsan, "Data mining for chronic kidney disease prediction." in IIE Annual Conference. Proceedings, Institute of Industrial and Systems Engineers, (IISE 2017), pp. 1789–1794
5. N. Borisagar, D. Barad, P. Raval, Chronic kidney disease prediction using back propagation neural network algorithm. Proce. Int. Confe. Commun. Netw. 19–20, 295–303 (2017)
Cited by
18 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献