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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2022
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| Materias: | |
| 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 |