Artificial Intelligence in Nutrition Analysis / Pravin Ghatge / Burlington [Canada] : Delve Publishing (2026)

Public ISBD Titre : Artificial Intelligence in Nutrition Analysis Type de document : texte imprimé Auteurs : Pravin Ghatge, Auteur Editeur : Burlington [Canada] : Delve Publishing Année de publication : 2026 Importance : 1 vol. (433 p.) Présentation : ill., couv. ill. en coul. Format : PDF ISBN/ISSN/EAN : 978-1-83441-369-3 Langues : Français Catégories : Bibliothèque Numérique:Livre Electronique Mots-clés : - Artificial Intelligence - Nutrition Analysis - L'intelligence artificielle - l'analyse nutritionnelle Index. décimale : 353.56 Alimentation et aliments Résumé : Artificial intelligence has revolutionized the field of nutrition science by enabling automated analysis of dietary patterns, nutrient estimation, and health prediction. Through data-driven insights, AI supports personalized nutrition and policy design. Artificial Intelligence in Nutrition Analysis explores the use of machine learning, image recognition, and natural language processing in dietary assessment. The book discusses AI-powered food tracking, nutrient profiling, and predictive analytics for health outcomes. It also examines ethical and data privacy concerns in digital nutrition tools. With examples from clinical and consumer applications, it offers a forward-looking view of how technology is transforming modern nutritional analysis. Artificial Intelligence in Nutrition Analysis [texte imprimé] / Pravin Ghatge, Auteur . - Burlington (Canada) : Delve Publishing, 2026 . - 1 vol. (433 p.) : ill., couv. ill. en coul. ; PDF. ISBN : 978-1-83441-369-3 Langues : Français Catégories : Bibliothèque Numérique:Livre Electronique Mots-clés : - Artificial Intelligence - Nutrition Analysis - L'intelligence artificielle - l'analyse nutritionnelle Index. décimale : 353.56 Alimentation et aliments Résumé : Artificial intelligence has revolutionized the field of nutrition science by enabling automated analysis of dietary patterns, nutrient estimation, and health prediction. Through data-driven insights, AI supports personalized nutrition and policy design. Artificial Intelligence in Nutrition Analysis explores the use of machine learning, image recognition, and natural language processing in dietary assessment. The book discusses AI-powered food tracking, nutrient profiling, and predictive analytics for health outcomes. It also examines ethical and data privacy concerns in digital nutrition tools. With examples from clinical and consumer applications, it offers a forward-looking view of how technology is transforming modern nutritional analysis.

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Code-barres	Cote	Support	Localisation	Section	Disponibilité
EB-SNV/0068	EB-SNV/0068	Livre	Bibliothèque SNV	Englais	Disponible

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