Machine Learning Approach for Prediction of Hematic Parameters in Hemodialysis Patients
Author:
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Biomedical Engineering,General Medicine
Link
http://xplorestaging.ieee.org/ielx7/6221039/8579633/08839068.pdf?arnumber=8839068
Cited by 20 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. Adaboost Machine Learning Based Modelling to Predict Chronic Kidney Disease Staging;2024 International Conference on Science Technology Engineering and Management (ICSTEM);2024-04-26
2. Analyzing Monthly Blood Test Data to Forecast 30-Day Hospital Readmissions among Maintenance Hemodialysis Patients;Journal of Clinical Medicine;2024-04-15
3. Prediction of Overhydration in the Process of Pediatric Hemodialysis using Artificial Neural Network;2023 12th Mediterranean Conference on Embedded Computing (MECO);2023-06-06
4. A Novel Toolbox for Induced Voltage Prediction on Rail Tracks Due to AC Electromagnetic Interference Between Railway and Nearby Power Lines;IEEE Transactions on Industry Applications;2023-05
5. Model for Predicting Complications of Hemodialysis Patients Using Data From the Internet of Medical Things and Electronic Medical Records;IEEE Journal of Translational Engineering in Health and Medicine;2023
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