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

BACKGROUND: Causal structure learning refers to a process of identifying causal structures from observational data, and it can have multiple applications in biomedicine and health care. OBJECTIVE: This paper provides a practical review and tutorial on scalable causal structure learning models with e...

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Detalles Bibliográficos
Autores principales: Upadhyaya, Pulakesh, Zhang, Kai, Li, Can, Jiang, Xiaoqian, Kim, Yejin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9890349/
https://www.ncbi.nlm.nih.gov/pubmed/36649070
http://dx.doi.org/10.2196/38266

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9890349/
https://www.ncbi.nlm.nih.gov/pubmed/36649070
http://dx.doi.org/10.2196/38266

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