Treatment of missing data in Bayesian network structure learning: an application to linked biomedical and social survey data

BACKGROUND: Availability of linked biomedical and social science data has risen dramatically in past decades, facilitating holistic and systems-based analyses. Among these, Bayesian networks have great potential to tackle complex interdisciplinary problems, because they can easily model inter-relati...

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Detalles Bibliográficos
Autores principales: Ke, Xuejia, Keenan, Katherine, Smith, V. Anne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9761946/
https://www.ncbi.nlm.nih.gov/pubmed/36536286
http://dx.doi.org/10.1186/s12874-022-01781-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9761946/
https://www.ncbi.nlm.nih.gov/pubmed/36536286
http://dx.doi.org/10.1186/s12874-022-01781-9

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