Zobrazeno 1 - 8 of 8 pro vyhledávání: '"Mélina Côté"'
1
Akademický článek
A cross-sectional survey examining motivation and beliefs to participating in a web-based prospective cohort study on nutrition and health among individuals with a low socioeconomic status
Autor: Mélina Côté, Stéphanie Harrison, Annie Lapointe, Catherine Laramée, Sophie Desroches, Simone Lemieux, Benoît Lamarche, Ariane Bélanger-Gravel
Publikováno v: BMC Public Health, Vol 20, Iss 1, Pp 1-11 (2020)
Abstract Background Prospective cohort studies may support public health efforts in reducing health inequalities. However, individuals with a low socioeconomic status (SES) are generally underrepresented in health research. This study aimed to examin
Externí odkaz: https://doaj.org/article/25ce6c25cc15439ba2f5535dd06c95d9
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2
Akademický článek
Are Machine Learning Algorithms More Accurate in Predicting Vegetable and Fruit Consumption Than Traditional Statistical Models? An Exploratory Analysis
Autor: Mélina Côté, Mazid Abiodoun Osseni, Didier Brassard, Élise Carbonneau, Julie Robitaille, Marie-Claude Vohl, Simone Lemieux, François Laviolette, Benoît Lamarche
Publikováno v: Frontiers in Nutrition, Vol 9 (2022)
Machine learning (ML) algorithms may help better understand the complex interactions among factors that influence dietary choices and behaviors. The aim of this study was to explore whether ML algorithms are more accurate than traditional statistical
Externí odkaz: https://doaj.org/article/e29e2c741bdf48a49d60125aa7c95fd0
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3
Artificial intelligence in nutrition research: perspectives on current and future applications
Autor: Miss Mélina Côté, Benoît Lamarche
Publikováno v: Applied physiology, nutrition, and metabolism = Physiologie appliquee, nutrition et metabolisme.
Artificial intelligence (AI) is a rapidly evolving area that offers unparalleled opportunities of progress and applications in many healthcare fields. In this review, we provide an overview of the main and latest applications of AI in nutrition resea
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c287658ef7bdf666fef5b432eb9b591
https://pubmed.ncbi.nlm.nih.gov/34525321
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5
A cross-sectional survey examining motivation and beliefs to participating in a web-based prospective cohort study on nutrition and health among individuals with a low socioeconomic status
Autor: Catherine Laramée, Mélina Côté, Annie Lapointe, Stéphanie Harrison, Simone Lemieux, Sophie Desroches, Ariane Bélanger-Gravel, Benoît Lamarche
Publikováno v: BMC Public Health
BMC Public Health, Vol 20, Iss 1, Pp 1-11 (2020)
Background Prospective cohort studies may support public health efforts in reducing health inequalities. However, individuals with a low socioeconomic status (SES) are generally underrepresented in health research. This study aimed to examine the int
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32c4ad5e01db5ddc8940abb88ac545e1
https://doi.org/10.1186/s12889-020-08467-1
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7
Beliefs Related to Participation in a Large Web-Based Prospective Survey on Diet and Health Among Individuals With a Low Socioeconomic Status: Qualitative Study (Preprint)
Autor: Mélina Côté, Annie Lapointe, Catherine Laramée, Simone Lemieux, Sophie Desroches, Ariane Belanger-Gravel, Benoît Lamarche
BACKGROUND NutriQuébec is a Web-based prospective study on the relationship between diet and health as well as the impact of food-related health policies in the adult population of Québec, Canada. Recruitment and retention of individuals with a low
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c6bb7bbdd0f5dfc8c2a8bb01bb79ac7a
https://doi.org/10.2196/preprints.13854
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