Causal risk factor discovery for severe acute kidney injury using electronic health records

Causal risk factor discovery for severe acute kidney injury using electronic health records

Abstract Background Acute kidney injury (AKI), characterized by abrupt deterioration of renal function, is a common clinical event among hospitalized patients and it is associated with high morbidity and mortality. AKI is defined in three stages with stage-3 being the most severe phase which is irre...

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Bibliographic Details
Main Authors: Weiqi Chen, Yong Hu, Xiangzhou Zhang, Lijuan Wu, Kang Liu, Jianqin He, Zilin Tang, Xing Song, Lemuel R. Waitman, Mei Liu
Format: Article
Language:English
Published: BMC 2018-03-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Acute kidney injury (AKI)
Causality discovery
Causal feature selection
Machine learning
Predictive modeling
Dimension reduction
Online Access:http://link.springer.com/article/10.1186/s12911-018-0597-7

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http://link.springer.com/article/10.1186/s12911-018-0597-7

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