Prospects and Pitfalls of Machine Learning in Nutritional Epidemiology

Nutritional epidemiology employs observational data to discover associations between diet and disease risk. However, existing analytic methods of dietary data are often sub-optimal, with limited incorporation and analysis of the correlations between the studied variables and nonlinear behaviours in...

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Detalles Bibliográficos
Autores principales: Russo, Stefania, Bonassi, Stefano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9105182/
https://www.ncbi.nlm.nih.gov/pubmed/35565673
http://dx.doi.org/10.3390/nu14091705

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9105182/
https://www.ncbi.nlm.nih.gov/pubmed/35565673
http://dx.doi.org/10.3390/nu14091705

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