Scalable Causal Structure Learning: Scoping Review of Traditional and Deep Learning Algorithms and New Opportunities in Biomedicine

BackgroundCausal structure learning refers to a process of identifying causal structures from observational data, and it can have multiple applications in biomedicine and health care. ObjectiveThis paper provides a practical review and tutorial on scalable causal...

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Bibliographic Details
Main Authors: Pulakesh Upadhyaya, Kai Zhang, Can Li, Xiaoqian Jiang, Yejin Kim
Format: Article
Language:English
Published: JMIR Publications 2023-01-01
Series:JMIR Medical Informatics
Online Access:https://medinform.jmir.org/2023/1/e38266