Failure prediction for hemodialysis units using machine learning and hall effect sensors
Hemodialysis Units (HDUs) are critical for providing essential dialysis treatments to patients with renal failure. However, failures in HDUs, particularly water pump failures, can disrupt patient care and compromise safety. This study focused on predicting water pump failures in HDUs using machine l...
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| Main Authors: | , , , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2023
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| Subjects: | |
| Online Access: | http://eprints.utm.my/107782/ http://dx.doi.org/10.1109/NBEC58134.2023.10352619 |
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