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

• 主要な著者: Yi-Shiuan Liu (著者), Chih-Yu Yang (著者), Ping-Fang Chiu (著者), Hui-Chu Lin (著者), Chung-Chuan Lo (著者), Alan Szu-Han Lai (著者), Chia-Chu Chang (著者), Oscar Kuang-Sheng Lee (著者)
• フォーマット: 図書
• 出版事項: JMIR Publications, 2021-09-01T00:00:00Z.
• 主題: article
• オンライン･アクセス: 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...