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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Detalhes bibliográficos
Publicado no:Sci Rep
Main Authors: Azuma, Junji, Yamamoto, Takehisa, Nitta, Motoaki, Hasegawa, Yasuhiro, Kijima, Eri, Shimotsuji, Tsunesuke, Mizoguchi, Yoshimi
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group UK 2020
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7368009/
https://ncbi.nlm.nih.gov/pubmed/32681105
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-68657-0
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