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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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-06-01
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| Series: | Renal Replacement Therapy |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s41100-025-00633-8 |
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