@inproceedings{c50feb5d3de44717bb3a03e70931e78e,
title = "Development of an Artificial Intelligence-Based Precise Nutrition and Dietary Management Model with Nutrient Intake Recommendation Framework",
abstract = "In order to improve people{\textquoteright}s understanding of healthy eating, various countries have issued numerous dietary guidelines to provide guidance for their populations. However, surveys have shown that the adherence to dietary guideline recommendations is generally low among the majority of individuals. Furthermore, without assistance, the motivation to adjust their diet based on these recommendations is reduced. Therefore, for a more convenient and accurate assistance in managing diet and nutritional intake, a system needs to be developed that can calculate the daily recommended calorie intake and servings of the six major food groups according to the dietary guidelines. This system can then generate a nutritionally balanced daily menu for users to reference, allowing them to easily fulfill their daily nutritional requirements by following the provided menu.",
keywords = "Dietary advice, Recommended Menu, Self-dietary management",
author = "Liu, \{Chen Yi\} and Wu, \{Pin Hua\} and Lee, \{Hsiu An\} and Huang, \{Tzu Ting\} and Yen, \{Lo Hsien\} and Hsu, \{Chien Yeh\}",
note = "Publisher Copyright: {\textcopyright} 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 13th International Conference on Frontier Computing, FC 2023 ; Conference date: 10-07-2023 Through 13-07-2023",
year = "2024",
doi = "10.1007/978-981-99-9416-8\_53",
language = "English",
isbn = "9789819994151",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "336--344",
editor = "Hung, \{Jason C.\} and Neil Yen and Jia-Wei Chang",
booktitle = "Frontier Computing on Industrial Applications Volume 3 - Proceedings of Theory, Technologies and Applications FC 2023",
address = "Germany",
}