Real-Time Clinical Decision Support Based on Recurrent Neural Networks for In-Hospital Acute Kidney Injury: External Validation and Model Interpretation
Journal of Medical Internet Research2021Vol. 23(4), pp. e24120–e24120
Citations Over TimeTop 10% of 2021 papers
Kipyo Kim, Hyeonsik Yang, Jinyeong Yi, Hyung-Eun Son, Ji Young Ryu, Yong Chul Kim, Jong Cheol Jeong, Ho Jun Chin, Ki Young Na, Dong‐Wan Chae, Seung Seok Han, Sejoong Kim
Abstract
We developed and externally validated a continuous AKI prediction model using RNN algorithms. Our model could provide real-time assessment of future AKI occurrences and individualized risk factors for AKI in general inpatient cohorts; thus, we suggest approaches to support clinical decisions based on prediction models for in-hospital AKI.
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