Nutrition and Lifestyle Recommendations for Patients Recovering from Covid-19 in Nusa Tenggara Barat Province

Firstyani Imannisa Rahma, Rizki Mawan, H. Harianto, Kusrini
{"title":"Nutrition and Lifestyle Recommendations for Patients Recovering from Covid-19 in Nusa Tenggara Barat Province","authors":"Firstyani Imannisa Rahma, Rizki Mawan, H. Harianto, Kusrini","doi":"10.1109/ICORIS50180.2020.9320829","DOIUrl":null,"url":null,"abstract":"Providing nutrition for COVID-19 patients is one of many actions to reduce the risk due to symptoms of COVID-19. To help meet the nutritional needs of COVID-19 cured patients, we developed a nutritional needs recommendation system and predicted nutritional needs for COVID-19 recovered patients in West Nusa Tenggara, Indonesia with Technique for the Order of Preference by Similarity to Ideal Solution method (TOPSIS). We use data from COVID-19 Task Force in this province along with The Indonesian Dietary Recommendations to help decide which nutrition is needed by recovered patients. The criteria used in the prototype of this system are Age Group weight 3, Vegetable Consumption weight 4, Fat Consumption weight 4, Salt & Sugar Consumption weight 2, and Sports weight 3. After cranking the two patterns used, the Pattern Preference value is obtained 1 = 0.34980639174099 and Pattern 2 = 0.65019360825901 so that the highest preference value that can be used as a recommendation is Pattern 2 with a preference value of 0.65019360825901.","PeriodicalId":280589,"journal":{"name":"2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"154 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICORIS50180.2020.9320829","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Providing nutrition for COVID-19 patients is one of many actions to reduce the risk due to symptoms of COVID-19. To help meet the nutritional needs of COVID-19 cured patients, we developed a nutritional needs recommendation system and predicted nutritional needs for COVID-19 recovered patients in West Nusa Tenggara, Indonesia with Technique for the Order of Preference by Similarity to Ideal Solution method (TOPSIS). We use data from COVID-19 Task Force in this province along with The Indonesian Dietary Recommendations to help decide which nutrition is needed by recovered patients. The criteria used in the prototype of this system are Age Group weight 3, Vegetable Consumption weight 4, Fat Consumption weight 4, Salt & Sugar Consumption weight 2, and Sports weight 3. After cranking the two patterns used, the Pattern Preference value is obtained 1 = 0.34980639174099 and Pattern 2 = 0.65019360825901 so that the highest preference value that can be used as a recommendation is Pattern 2 with a preference value of 0.65019360825901.
努沙登加拉巴拉特省Covid-19康复患者的营养和生活方式建议
为COVID-19患者提供营养是减少COVID-19症状风险的众多行动之一。为了帮助满足COVID-19治愈患者的营养需求,我们开发了营养需求推荐系统,并利用理想溶液相似度偏好排序技术(TOPSIS)预测了印度尼西亚西努沙登加拉州COVID-19康复患者的营养需求。我们使用了该省COVID-19工作组的数据以及《印度尼西亚饮食建议》,以帮助确定康复患者需要哪些营养。该系统原型中使用的标准是年龄组体重3,蔬菜消耗体重4,脂肪消耗体重4,盐和糖消耗体重2,运动体重3。在对所使用的两个模式进行启动后,得到模式偏好值1 = 0.34980639174099,模式2 = 0.65019360825901,因此可以用作推荐的最高偏好值是模式2,其偏好值为0.65019360825901。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信