{"title":"Design and Implementation of Quantitative Nutritional Guidance System for Pregnant Woman","authors":"C. Bo, Wang Le, Gao Xiu-e, Yan Juan-juan","doi":"10.1109/CSSE.2008.419","DOIUrl":null,"url":null,"abstract":"To address the issue that the present nutrition/health care system can only provide qualitative services for pregnant women, a quantitative nutritional algorithm is proposed based on nutritional diagram & fuzzy theory, and a software system for providing quantitative nutritional guidance is developed based on a C/S & B/S hybrid architecture; the system gathers & analyzes the subjectpsilas dietary information and her medical examination results, performs comprehensive evaluation of her nutritional status, and provides quantitative nutritional guidance accordingly using visualized graphs. The C/S part of it is constructed with DataWindow technology, and uses BIA for body composition measurement; the B/S part uses 3-layered open source J2EE structure for remote applications. Utilizing of this system can accurately pinpoint the nutritional problem of pregnant woman and improve the quality of new born population.","PeriodicalId":6460,"journal":{"name":"2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"29 1","pages":"667-671"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSSE.2008.419","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
To address the issue that the present nutrition/health care system can only provide qualitative services for pregnant women, a quantitative nutritional algorithm is proposed based on nutritional diagram & fuzzy theory, and a software system for providing quantitative nutritional guidance is developed based on a C/S & B/S hybrid architecture; the system gathers & analyzes the subjectpsilas dietary information and her medical examination results, performs comprehensive evaluation of her nutritional status, and provides quantitative nutritional guidance accordingly using visualized graphs. The C/S part of it is constructed with DataWindow technology, and uses BIA for body composition measurement; the B/S part uses 3-layered open source J2EE structure for remote applications. Utilizing of this system can accurately pinpoint the nutritional problem of pregnant woman and improve the quality of new born population.