基于食品包装产品，采用模糊C均值算法确定患者的营养状况

2017 4th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) Pub Date : 2017-10-01 DOI:10.1109/EECSI.2017.8239151

S. Winiarti, S. Kusumadewi, I. Muhimmah, H. Yuliansyah

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引用次数: 8

摘要

本研究的主要思路是利用模糊C均值(FCM)方法确定患者的营养状况，并在移动应用中实现。用于聚类营养状况的参数是身高、体重和年龄。该决定的结果将把营养状况分为三类:良好营养、营养不良和更好的营养。消费者在消费食品时，手机应用程序可以提醒消费者食品包装上的营养价值或成分。对FCM算法在该移动应用中的应用进行了系统测试，验证率达到80%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Determining the nutrition of patient based on food packaging product using fuzzy C means algorithm

The main idea in this research is the utilization of Fuzzy C Means (FCM) method as the determination of patient's nutritional status, which is implemented, in mobile application. Parameters used to cluster nutritional status are height, weight and age. The result of the decision will give 3 clusters on nutritional status is good nutrition, malnutrition and better nutrition. Mobile apps are used as a reminder of the nutritional value or ingredients contained in the packaging of food products while consuming food. The result of system testing for application of FCM algorithm in this mobile application obtained validation of 80%.

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来源期刊

2017 4th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)

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