A pattern-discovery-based outcome predictive tool integrated with clinical data repository: design and a case study on contrast related acute kidney injury

A pattern-discovery-based outcome predictive tool integrated with clinical data repository: design and a case study on contrast related acute kidney injury

Abstract Background Clinical data repositories (CDR) including electronic health record (EHR) data have great potential for outcome prediction and risk modeling. We built a prediction tool integrated with CDR based on pattern discovery and demonstrated a case study on contrast related acute kidney i...

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Bibliographic Details
Main Authors: Yuxi Li, Tak-Ming Chan, Jinghan Feng, Liang Tao, Jie Jiang, Bo Zheng, Yong Huo, Jianping Li
Format: Article
Language:English
Published: BMC 2022-04-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Machine learning
Predictive tool
Pattern discovery
Acute kidney injury
Online Access:https://doi.org/10.1186/s12911-022-01841-6

Internet

https://doi.org/10.1186/s12911-022-01841-6

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