Clustering analysis and machine learning algorithms in the prediction of dietary patterns: Cross-sectional results of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil).

Vanderlei Carneiro da Silva Bartira Mendes Gorgulho Leticia Oliveira Cardoso Tânia Aparecida de Araujo Itamar de Souza Santos Paulo Andrade Lotufo Isabela Judith Martins Benseñor

Published in: Journal of human nutrition and dietetics : the official journal of the British Dietetic Association (2022)

The performance of the algorithms in dietary pattern prediction was similar, and the models presented may provide support in screener tasks and guide health professionals in the analysis of dietary data.

Keyphrases

machine learning
big data
cross sectional
artificial intelligence
deep learning
healthcare
public health
mental health
working memory
electronic health record
rna seq
health information
risk assessment
health promotion
human health
social media