An explainable machine learning model for early warning of hypertensive and hypotensive anomalies in maintenance hemodialysis patients
Abstract Background Intradialytic hypotension (IDH) and intradialytic hypertension (IDHTN) are major complications of maintenance hemodialysis (MHD) that significantly impact patient morbidity and mortality. Effective, explainable prediction of IDH and IDHTN can improve their management. Methods Thi...
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| Main Authors: | Zhuoyu Li, Siying Hao, Shujun Shi, Lin Li, Ziwei Tao |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-07-01
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| Series: | BMC Nephrology |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12882-025-04270-5 |
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