Performance-Based Prediction of Chronic Kidney Disease Using Machine Learning for High-Risk Cardiovascular Disease Patients-Reference-Cited by-同舟云学术

Performance-Based Prediction of Chronic Kidney Disease Using Machine Learning for High-Risk Cardiovascular Disease Patients

Published:2019-09-04 Issue: Volume: Page:187-206
ISSN:1860-949X
Container-title:Nature-Inspired Computation in Data Mining and Machine Learning
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Author:

Alloghani Mohamed,Al-Jumeily Dhiya,Hussain Abir,Liatsis Panagiotis,Aljaaf Ahmed J.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-28553-1_9

Reference10 articles.

1. Al-Shamsi, S., Regmi, D., Govender, R.: Chronic kidney disease in patients at high risk of cardiovascular disease in the United Arab Emirates: a population-based study. PLoS ONE 13, e0199920 (2018). https://doi.org/10.1371/journal.pone.0199920

2. Jain, D., Singh, V.: Feature selection and classification systems for chronic disease prediction: a review. Egypt. Inform. J. (2018). https://doi.org/10.1016/j.eij.2018.03.002

3. Kumar, M.: Prediction of chronic kidney disease using random forest machine learning algorithm. Int. J. Comput. Sci. Mob. Comput. 5(2), 24–33 (2016)

4. Sharma, S., Sharma, V., Sharma, A.: Performance-based evaluation of various machine learning classification techniques for chronic kidney disease diagnosis. arXiv preprint arXiv:1606.09581 , 28 June 2016

5. Sinha, P., Sinha, P.: Comparative study of chronic kidney disease prediction using KNN and SVM. Int. J. Eng. Res. Technol. 4(12), 608–612 (2015)

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