Deep learning model to predict lupus nephritis renal flare based on dynamic multivariable time-series data

Deep learning model to predict lupus nephritis renal flare based on dynamic multivariable time-series data

Objectives To develop an interpretable deep learning model of lupus nephritis (LN) relapse prediction based on dynamic multivariable time-series data.Design A single-centre, retrospective cohort study in China.Setting A Chinese central tertiary hospital.Participants The cohort study consisted of 169...

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Bibliographic Details
Main Authors: Jing Yang, Xiang Li, Yuan Zhang, Tiange Chen, Dan-Dan Liang, Cai-Hong Zeng, Zhi-Hong Liu, Hai-Tao Zhang, Yanan Song, Siwan Huang, Yinghua Chen, Kaiyuan Wu, Wenxiao Jia
Format: Article
Language:English
Published: BMJ Publishing Group 2024-03-01
Series:BMJ Open
Online Access:https://bmjopen.bmj.com/content/14/3/e071821.full

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https://bmjopen.bmj.com/content/14/3/e071821.full

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