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摘要:
Objective:Nutrition practice in India has generally been confined to pen and paper with little use of algorithms and technology.Nutritionists in practice find it difficult to go beyond macronutrient analysis for dietary intake or diet plans.Since nutrition practice requires lot of data processing,we decided to develop software to aid in these calculations and to empower nutritionist with technology enabled scientific practice using software.Method:Ntuitive software was developed by a team of nutrition experts and technologists over a period of 18 months.Data for nutrient values was sources from IFCT 2017[6],RDA’s were taken from ICMR guidelines and growth charts from IAP publications[7].Design and coding of the software was done inhouse.Ntuitive database has over 8500 recipes and packed foods and has most of the national and international cuisine items.The software module enables client/patient management,detailed profiling,recording anthropometric data and plotting on WHO and IAP growth charts,recording food allergies and medical condition.The dietary recall be it one day,three day or seven day can be easily recorded and analysis of nutrients can be obtained for the same.The software is hosted on Amazon Web Server and applied as SAAS platform for practice.Result:800 children and adults underwent analysis and consultation using Ntuitive software.All 189 micronutrients could be calculated using the software and deficiency or excess quantified when compared with RDA.Conclusion:Nutrition practice can be made easy and technology enabled keeping in mind scientific standards.This helps in data collection not just in macro nutrients,but also in micronutrients.
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篇名 New Paradigm in Nutrition Practice-Initial Findings From Ntuitive Software
来源期刊 内分泌系统研究(英文) 学科 工学
关键词 Ntuitive SOFTWARE IFCT WHO and IAP growth charts RDA ASPEN NIN Nutrition Technology Diet PLANS
年,卷(期) 2019,(2) 所属期刊栏目
研究方向 页码范围 6-16
页数 11页 分类号 TP3
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研究主题发展历程
节点文献
Ntuitive
SOFTWARE
IFCT
WHO
and
IAP
growth
charts
RDA
ASPEN
NIN
Nutrition
Technology
Diet
PLANS
研究起点
研究来源
研究分支
研究去脉
引文网络交叉学科
相关学者/机构
期刊影响力
内分泌系统研究(英文)
半年刊
2630-5224
12 Eu Tong Sen Stree
出版文献量(篇)
11
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0
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0
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