Study on Optimal Machine Learning Approaches for Kidney Failure Detection System Based on Ammonia Level in the Mount
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-29078-7_5
Reference9 articles.
1. Jager KJ, Kovesdy C, Langham R, Rosenberg M, Jha V, Zoccali C (2019) A single number for advocacy and communication—worldwide more than 850 million individuals have kidney diseases. Kidney Int 96:1048–1050
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3. Narasimhan ALR, Goodman W, Patel CKN (2016) Correlation of breath ammonia with blood urea nitrogen and creatinine during hemodialysis. 98:4617–4621
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