Preemptive Diagnosis of Chronic Kidney Disease Using Machine Learning Techniques

Author:

Alassaf Reem A.,Alsulaim Khawla A.,Alroomi Noura Y.,Alsharif Nouf S.,Aljubeir Mishael F.,Olatunji Sunday O.,Alahmadi Alaa Y.,Imran Mohammed,Alzahrani Rahma A.,Alturayeif Nora S.

Publisher

IEEE

Cited by 19 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

1. DenseHillNet: a lightweight CNN for accurate classification of natural images;PeerJ Computer Science;2024-04-22

2. Preemptive Diagnosis of Colorectal Cancer Using Computational Intelligence Techniques;2024 Seventh International Women in Data Science Conference at Prince Sultan University (WiDS PSU);2024-03-03

3. Deep Learning Technique to Detect and Diagnose the Anomalous in Kidney;2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES);2023-12-14

4. Analysis of Machine Learning Algorithms in Predicting Chronic Kidney Diseases Based on Performance: A Systematic Literature Review;2023 4th International Conference on Artificial Intelligence and Data Sciences (AiDAS);2023-09-06

5. Deep Learning Approach to Recyclable Products Classification: Towards Sustainable Waste Management;Sustainability;2023-07-17

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