Machine Learning Analysis of Time-Dependent Features for Predicting Adverse Events During Hemodialysis Therapy: Model Development and Validation Study

• Автори: Yi-Shiuan Liu (Автор), Chih-Yu Yang (Автор), Ping-Fang Chiu (Автор), Hui-Chu Lin (Автор), Chung-Chuan Lo (Автор), Alan Szu-Han Lai (Автор), Chia-Chu Chang (Автор), Oscar Kuang-Sheng Lee (Автор)
• Формат: Книга
• Опубліковано: JMIR Publications, 2021-09-01T00:00:00Z.
• Предмети: article
• Онлайн доступ: Connect to this object online.

BackgroundHemodialysis (HD) therapy is an indispensable tool used in critical care management. Patients undergoing HD are at risk for intradialytic adverse events, ranging from muscle cramps to cardiac arrest. So far, there is no effective HD device-integrated algorithm to assist medical staff in re...