A recurrent neural network approach to predicting hemoglobin trajectories in patients with End-Stage Renal Disease-Reference-Cited by-同舟云学术

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A recurrent neural network approach to predicting hemoglobin trajectories in patients with End-Stage Renal Disease

Published:2020-04 Issue: Volume:104 Page:101823
ISSN:0933-3657
Container-title:Artificial Intelligence in Medicine
language:en
Short-container-title:Artificial Intelligence in Medicine

Author:

Lobo Benjamin,Abdel-Rahman Emaad,Brown Donald,Dunn Lori,Bowman Brendan

Funder

University of Virginia's Center for Engineering in Medicine

Center for Innovative Technology

Publisher

Elsevier BV

Subject

Artificial Intelligence,Medicine (miscellaneous)

Reference23 articles.

1. Chapter 3: Use of ESAs and other agents to treat anemia in CKD;KDIGO Guidelines;Kidney Int Suppl,2012

2. Correction of anemia with epoetin alfa in chronic kidney disease;Singh;New Engl J Med,2006

3. Hemoglobin cycling in hemodialysis patients treated with recombinant human erythropoietin;Fishbane;Kidney Int,2005

4. Successful creation of an anemia management algorithm for hemodialysis patients;Hara;Int J Nephrol Renov Dis,2015

5. Pharmacokinetics and pharmacodynamics of darbepoetin alfa and epoetin in patients undergoing dialysis;Allon;Clin Pharmacol Ther,2002

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5. Multi-head self-attention mechanism enabled individualized hemoglobin prediction and treatment recommendation systems in anemia management for hemodialysis patients;Heliyon;2023-02

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