NUTRITION SELECTION SYSTEM ACCORDING TO HEALTH INDICATORS

Author:

Shmaiun Sofiia1ORCID,Zhurakovskyi Bohdan1ORCID,Ivanichenko Yevhen2ORCID

Affiliation:

1. National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”

2. Borys Grinchenko Kyiv University

Abstract

This article analyzes existing supplements that help people monitor their health and nutrition, and reveals important current issues that have received little attention so far. Eating disorders also include some developmental abnormalities that can be prevented by diet, disorders that respond to dietary treatment, food allergies and intolerances, potential food hazards, and the interaction of food and nutrients with medications. This web application is for people who have special diets due to illness, doctors' recommendations. The implementation involves analyzing the possibilities of developing a software system that allows you to track meals, give advice on diet planning and recommend recipes and products for the user's health indicators to be adjusted. Potential users of this software product will be primarily patients with eating disorders, but also those who simply need to change their diet for one reason or another, such as allergies, diabetics, etc. To control their diet, you can use a variety of tools that differ from each other in the degree of convenience and accessibility. The easiest way to control is to independently count the food eaten and record information about them. Today, there are many applications, both mobile and web applications, that are designed to monitor diet, pick up recipes or keep a diary of meals. The health nutrition web application is designed primarily to monitor your health and the fullness of all the necessary components of the food you eat, as recommended by your doctor. The essence of the application is that the user enters his basic data such as gender, age, height, weight, and optionally, for more accurate and useful recommendations, the presence of allergies, the presence of diseases or genetic predisposition to them, food preferences, increased / reduced test results (which may be affected by nutrition), recommendations of doctors, etc.

Publisher

Borys Grinchenko Kyiv University

Subject

General Medicine

Reference26 articles.

1. World Health Organization. mHealth. (2018). Use of appropriate digital technologies for public health. https://www.who.int/

2. Huberhryts, A.Ia., Lynevskyi, Yu.V. (1989). Lechebnoe pytanye.

3. Smolianskyi, B.L., Abramova, Zh.Y. (1984). Spravochnyk po lechebnomu pytanyiu dlia dyetsester y povarov.

4. FatSecret. (2022). https://play.google.com/store/apps/details?id=com.fatsecret.android&hl=ru&gl=US

5. MyFitnessPal. (2022). https://www.myfitnesspal.com/ru

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3