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Perspective: Big Data and Machine Learning Could Help Advance Nutritional Epidemiology
The field of nutritional epidemiology faces challenges posed by measurement error, diet as a complex exposure, and residual confounding. The objective of this perspective article is to highlight how developments in big data and machine learning can help address these challenges. New methods of colle...
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| Pubblicato in: | Adv Nutr |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Oxford University Press
2021
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8166570/ https://ncbi.nlm.nih.gov/pubmed/33606879 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/advances/nmaa183 |
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