Prediction of metabolic syndrome based on sleep and work-related risk factors using an artificial neural network

BACKGROUND: Metabolic syndrome (MetS) is a major public health concern due to its high prevalence and association with heart disease and diabetes. Artificial neural networks (ANN) are emerging as a reliable means of modelling relationships towards understanding complex illness situations such as Met...

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Detalles Bibliográficos
Autores principales: Eyvazlou, Meysam, Hosseinpouri, Mahdi, Mokarami, Hamidreza, Gharibi, Vahid, Jahangiri, Mehdi, Cousins, Rosanna, Nikbakht, Hossein-Ali, Barkhordari, Abdullah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7659072/
https://www.ncbi.nlm.nih.gov/pubmed/33183282
http://dx.doi.org/10.1186/s12902-020-00645-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7659072/
https://www.ncbi.nlm.nih.gov/pubmed/33183282
http://dx.doi.org/10.1186/s12902-020-00645-x

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