A Bayesian network model of new-onset diabetes in older Chinese: The Guangzhou biobank cohort study

BACKGROUND: Existing diabetes risk prediction models based on regression were limited in dealing with collinearity and complex interactions. Bayesian network (BN) model that considers interactions may provide additional information to predict risk and infer causation. METHODS: BN model was construct...

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Detalles Bibliográficos
Autores principales: Wang, Ying, Zhang, Wei Sen, Hao, Yuan Tao, Jiang, Chao Qiang, Jin, Ya Li, Cheng, Kar Keung, Lam, Tai Hing, Xu, Lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Endocrinology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9382298/
https://www.ncbi.nlm.nih.gov/pubmed/35992128
http://dx.doi.org/10.3389/fendo.2022.916851

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9382298/
https://www.ncbi.nlm.nih.gov/pubmed/35992128
http://dx.doi.org/10.3389/fendo.2022.916851

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