Analysis of the Impact of Medical Features and Risk Prediction of Acute Kidney Injury for Critical Patients Using Temporal Electronic Health Record Data With Attention-Based Neural Network

• Published in: Frontiers in medicine Vol. 8; p. 658665
• Main Authors: Chen, Zhimeng, Chen, Ming, Sun, Xuri, Guo, Xieli, Li, Qiuna, Huang, Yinqiong, Zhang, Yuren, Wu, Lianwei, Liu, Yu, Xu, Jinting, Fang, Yuming, Lin, Xiahong
• Format: Journal Article
• Language: English
• Published: Frontiers Media S.A 04.06.2021
• Subjects: acute kidney injury; attention based neural network; electronic health record data; medical features impact; Medicine; temporal convolutional network

Acute kidney injury (AKI) is one of the most severe consequences of kidney injury, and it will also cause or aggravate the complications by the fast decline of kidney excretory function. Accurate AKI prediction, including the AKI case, AKI stage, and AKI onset time interval, can provide adequate sup...