A proof-of-concept study to construct Bayesian network decision models for supporting the categorization of sudden unexpected infant death

Sudden infant death syndrome (SIDS) remains a leading cause of infant death in high-income countries. Supporting models for categorization of sudden unexpected infant death into SIDS/non-SIDS could reduce mortality. Therefore, we aimed to develop such a tool utilizing forensic data, but the reduced...

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Detalles Bibliográficos
Autores principales: Hamayasu, Hideki, Miyao, Masashi, Kawai, Chihiro, Osamura, Toshio, Yamamoto, Akira, Minami, Hirozo, Abiru, Hitoshi, Tamaki, Keiji, Kotani, Hirokazu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9192651/
https://www.ncbi.nlm.nih.gov/pubmed/35697924
http://dx.doi.org/10.1038/s41598-022-14044-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9192651/
https://www.ncbi.nlm.nih.gov/pubmed/35697924
http://dx.doi.org/10.1038/s41598-022-14044-w

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