Related Experiment Video
Updated: May 14, 2026
Concept Development and Use of an Automated Food Intake and Eating Behavior Assessment Method
Published on: February 19, 2021
[Exploration of the food cluster automation in the China Total Diet Study]
Wanqing Li1, Wenjie Shen, Junxia Pan
1Department of Epidemiology and Biostatistics, School of Public Health, Southeast University, Nanjing 210009, China. liwanqingseu@163.com
Objective:
To achieve the food cluster automation of China Total Diet Study and improve the quality and efficiency of the food cluster calculation.
Method:
The food coding features were studied in the Chinese Food Composition Table. After analyzing the principles of food clustering on Total Diet Study, constructing an algorithm allows the computer language to identify these characteristics and principles to achieve automatic food cluster.
Results:
The instance was selected from the data of a province in the fifth Chinese Total Diet Study. 292 food items were clustered into 53 kinds of cluster food by computer program, and the results are corresponded to the cluster requirements of total diet study.
Conclusion:
The automatic calculation of the food cluster can be achieved by computer program more reliable and effectively in the Total Diet Study.
