Failure prediction for hemodialysis units using machine learning and hall effect sensors

• Main Authors: Noordin, Muhammad Khair, Amran, Mohd. Effendi, Bani, Nurul Aini, Ahmad Kamil, Ahmad Safwan, Md. Nasir, Ahmad Nabil, Arsat, Mahyuddin
• Format: Conference or Workshop Item
• Published: 2023
• Subjects: H Social Sciences (General)
• Online Access: http://eprints.utm.my/107782/; http://dx.doi.org/10.1109/NBEC58134.2023.10352619

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...