Structure equation model and neural network analyses to predict coronary artery lesions in Kawasaki disease: a single-centre retrospective study

A new method to predict coronary artery lesions (CALs) in Kawasaki disease (KD) was developed using a mean structure equation model (SEM) and neural networks (Nnet). There were 314 admitted children with KD who met at least four of the six diagnostic criteria for KD. We defined CALs as the presence...

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Detalles Bibliográficos
Autores principales: Azuma, Junji, Yamamoto, Takehisa, Nitta, Motoaki, Hasegawa, Yasuhiro, Kijima, Eri, Shimotsuji, Tsunesuke, Mizoguchi, Yoshimi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7368009/
https://www.ncbi.nlm.nih.gov/pubmed/32681105
http://dx.doi.org/10.1038/s41598-020-68657-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7368009/
https://www.ncbi.nlm.nih.gov/pubmed/32681105
http://dx.doi.org/10.1038/s41598-020-68657-0

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