Prediction model of artificial neural network for the risk of hyperuricemia incorporating dietary risk factors in a Chinese adult study

BACKGROUND: Risk of hyperuricemia (HU) has been shown to be strongly associated with dietary factors. However, there is scarce evidence on prediction models incorporating dietary factors to estimate the risk of HU. OBJECTIVE: The aim of this study was to develop a prediction model to predict the ris...

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Detalles Bibliográficos
Autores principales: Zeng, Jie, Zhang, Junguo, Li, Ziyi, Li, Tianwang, Li, Guowei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Open Academia 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6983978/
https://www.ncbi.nlm.nih.gov/pubmed/32047420
http://dx.doi.org/10.29219/fnr.v64.3712

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6983978/
https://www.ncbi.nlm.nih.gov/pubmed/32047420
http://dx.doi.org/10.29219/fnr.v64.3712

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