Handling hybrid and missing data in constraint-based causal discovery to study the etiology of ADHD

Causal discovery is an increasingly important method for data analysis in the field of medical research. In this paper, we consider two challenges in causal discovery that occur very often when working with medical data: a mixture of discrete and continuous variables and a substantial amount of miss...

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Detalles Bibliográficos
Autores principales: Sokolova, Elena, von Rhein, Daniel, Naaijen, Jilly, Groot, Perry, Claassen, Tom, Buitelaar, Jan, Heskes, Tom
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2016
Materias:
Regular Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5479362/
https://www.ncbi.nlm.nih.gov/pubmed/28691055
http://dx.doi.org/10.1007/s41060-016-0034-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5479362/
https://www.ncbi.nlm.nih.gov/pubmed/28691055
http://dx.doi.org/10.1007/s41060-016-0034-x

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