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目的实现中国总膳食研究食物聚类自动化,提高食物聚类计算的质量和效率。方法通过对中国食物成分表中食物编码特点研究,以及总膳食研究食物聚类的原则进行分析,构建能够让计算机语言识别这些特点和原则的算法,实现食物聚类自动化。结果以第五次中国总膳食研究某省膳食调查数据为例,将292种食物聚为53种聚类食物,聚类结果符合总膳食研究聚类要求。结论该方法能够有效地实现中国总膳食研究食物聚类自动化计算,提高了中国总膳食研究中食物聚类的质量和效率。
OBJECTIVE To achieve food aggregates automation in China’s total diet and to improve the quality and efficiency of food clustering calculations. Methods By analyzing the characteristics of food coding in Chinese food composition table and the principle of food cluster in total diet research, an algorithm that enables computer language to recognize these characteristics and principles is constructed to realize food clustering automation. Results Taking the survey data of the fifth provincial total dietary research in a province as an example, 292 kinds of foods were clustered into 53 kinds of clustering foods, and the clustering results were in accordance with the requirements of the total diet research clustering. Conclusion This method can effectively calculate the food aggregates of China’s total diet research and improve the quality and efficiency of food clustering in China’s total diet research.