Post-dialysis blood urea nitrogen value prediction using machine learning
Author:
Affiliation:
1. Group of Clinical Engineering, Department of Nursing, Sun Clinic
2. General Department, Sun Clinic
Publisher
Japanese Society for Dialysis Therapy
Subject
Organic Chemistry,Biochemistry
Link
https://www.jstage.jst.go.jp/article/jsdt/56/5/56_167/_pdf
Reference17 articles.
1. 1) Gotch FA, Sargent JA. A mechanistic analysis of the National Cooperative Dialysis Study (NCDS). Kidney Int 1985；28：526-34.
2. 2) National Kidney Foundation. KDOQI clinical practice guideline for hemodialysis adequacy：2015 update. Am J Kidney Dis 2015；66：884-930.
3. 3) Daugirdas JT. Second generation logarithmic estimates of single-pool variable volume Kt/V：an analysis of error. J Am Soc Nephrol 1993；4：1205-13.
4. 4) Barbieri C, Molina M, Ponce P, et al. An international observational study suggests that artificial intelligence for clinical decision support optimizes anemia management in hemodialysis patients. Kidney Int 2016；90：422-9.
5. 5) Lee H, Yun D, Yoo J, et al. Deep learning model for real-time prediction of intradialytic hypotension. CJASN 2021；16：396-406.
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