Predicting anemia management in dialysis patients using open-source machine learning libraries

Predicting anemia management in dialysis patients using open-source machine learning libraries

Abstract Background Managing anemia in patients with end-stage kidney disease (ESKD) undergoing hemodialysis (HD) is a major clinical challenge. It requires precise hemoglobin (Hb) control while minimizing erythropoiesis-stimulating agent (ESA) dosages to reduce cost and side effects. Despite recent...

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Bibliographic Details
Main Authors: Takahiro Inoue, Norio Hanafusa, Yuki Kawaguchi, Ken Tsuchiya
Format: Article
Language:English
Published: BMC 2025-06-01
Series:Renal Replacement Therapy
Subjects:
Hemodialysis
Anemia
Artificial intelligence
Machine learning
Online Access:https://doi.org/10.1186/s41100-025-00633-8
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https://doi.org/10.1186/s41100-025-00633-8

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