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Un sistema de recomendación nutricional basado en IA: validación técnica con conocimientos de la cocina mediterránea

Kyriakos Kalpakoglou¹, Lorena Calderón-Pérez², Noemi Boqué²

¹Visual Computing Lab (VCL), Information Technologies Institute (ITI), Centre for Research and Technology Hellas (CERTH), Thessaloniki, Greece.

Frontiers in nutrition

|September 2, 2025

Resumen

Este estudio presenta un sistema de nutrición impulsado por IA que crea planes de comidas semanales personalizados. El sistema garantiza una nutrición equilibrada y preferencias dietéticas para adultos sanos, abordando los desafíos del estilo de vida moderno.

Área de la Ciencia:

Ciencias de la nutrición
Inteligencia artificial
Informática de la salud

Sus antecedentes:

Los estilos de vida modernos, caracterizados por comportamientos sedentarios y dietas pobres, contribuyen a numerosos problemas de salud.
Mantener una dieta saludable es un desafío en el mundo acelerado de hoy.
La inteligencia artificial (IA) ofrece posibles soluciones para los desafíos dietéticos.

Objetivo del estudio:

Desarrollar y evaluar un sistema basado en IA para generar planes de comidas semanales personalizados.
Adaptar los planes de comidas a las necesidades y preferencias nutricionales individuales de los adultos sanos.
Abordar las dificultades de mantener una dieta saludable en la sociedad contemporánea.

Principales métodos:

Se desarrolló un sistema de IA para recomendar planes de nutrición semanales (NP).
El sistema utiliza una base de datos de alimentos mediterráneos validada por expertos.
Se emplea un proceso estructurado de cuatro pasos para la generación del plan de comidas, teniendo en cuenta las preferencias del usuario y los requisitos nutricionales.

Principales resultados:

El sistema de IA demostró una alta precisión en el filtrado de comidas basado en parámetros del usuario como las alergias.
Las evaluaciones a través de 4.000 perfiles de usuarios mostraron una excelente diversidad en las comidas y una representación equilibrada de los grupos de alimentos.
El sistema recomendó con precisión el contenido calórico y de macronutrientes, asegurando la estacionalidad y la variedad.

Conclusiones:

El sistema de recomendación nutricional de la IA proporciona un filtrado preciso, diversas opciones de comidas y sugerencias precisas de calorías y macronutrientes.
Este sistema presenta una solución viable a los desafíos planteados por los hábitos alimenticios modernos.
El enfoque de la IA apoya efectivamente una alimentación saludable para los adultos en un mundo acelerado.

Palabras clave:

Recomendador basado en IA Cocina mediterránea Inteligencia artificial una dieta saludable Recomendaciones para el plan de comidas recomendaciones nutricionales recomendaciones personalizadas

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