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'Boden Food Plate': Novel Interactive Web-based Method for the Assessment of Dietary Intake

'Boden Food Plate': Novel Interactive Web-based Method for the Assessment of Dietary Intake

Published on: September 18, 2018

A web-based decision support system for dietary analysis and recommendations.

Chien-Yeh Hsu¹, Li-Chieh Huang, Tzuo Ming Chen

¹Graduate Institute of Medical Informatics, Taipei Medical University , Taipei, Taiwan.

Telemedicine Journal and E-Health : the Official Journal of the American Telemedicine Association

|March 10, 2011

Summary

A new web-based platform uses a fuzzy decision model to provide reliable dietary analysis and menu recommendations for dietitians in Taiwan, addressing the lack of integrated Chinese menu databases.

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Area of Science:

Nutrition Science
Computer Science
Health Informatics

Background:

Limited integrated databases for Chinese menus hinder accurate nutrition information access.
Dietitians in Taiwan require effective tools for dietary analysis and recommendations.

Purpose of the Study:

To develop a Web-based platform for dietary analysis and recommendations.
To integrate Chinese menu data and provide nutrition information for dietitians.

Main Methods:

Utilized a fuzzy decision model to create a Web-based support system.
The system searches food composition databases and calculates dietary intake.
Provides guidance for decision-making in nutrition counseling.

Main Results:

The online system generated reliable menu and food-based recommendations.
High correlation (0.31-0.99) was observed in food composition homogeneity for generated menus.
Generated menus showed similarity to nutrient requirements and most correlated menus.

Conclusions:

The fuzzy decision model provides reliable and valid menu recommendations.
The Web-based platform serves as a valuable decision-making tool for Taiwanese dietitians.
Enhances dietary analysis and recommendation capabilities in clinical practice.