Mauliza Mauliza, Defry Hamdhana
{"title":"TEKNOLOGI SISTEM PAKAR DALAM MENDIAGNOSA BERAT BADAN LAHIR RENDAH MENGGUNAKAN CASE BASED REASONING (CBR)","authors":"Mauliza Mauliza, Defry Hamdhana","doi":"10.30865/KOMIK.V2I1.969","DOIUrl":null,"url":null,"abstract":"Body Weight is one indicator for health of newborns (BBL). The health of newborns is a seriously problem and one indicator for the cause of infant mortality in Indonesia. In this case, we use expert system with case based reasoning (CBR) methods to diagnosis the low birth weight. Our paper aims to knows risks factor which measurement the low birth weight and can develop the hospital system to diagnose the initial symptoms of newborns type. We use age, HB rate, parity distance, number of antenental visits, amount of parity, socio-economy status, mother’s education level, and nutrition status of pregnant while the maternal work history variable is a protection factor.Keywords: Expert System, CBS, low birth weight","PeriodicalId":246167,"journal":{"name":"KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.30865/KOMIK.V2I1.969","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

体重是新生儿健康的一个指标。新生儿的健康是一个严重问题,也是印度尼西亚婴儿死亡原因的一个指标。在这种情况下,我们使用基于案例推理(CBR)方法的专家系统来诊断低出生体重。本文旨在了解低出生体重的危险因素,并开发出新生儿型初始症状诊断的医院系统。我们使用年龄、HB率、胎次距离、产前检查次数、胎次数量、社会经济地位、母亲受教育程度和孕妇营养状况,而母亲的工作史变量是一个保护因素。关键词:专家系统,CBS,低出生体重
本文章由计算机程序翻译,如有差异,请以英文原文为准。
TEKNOLOGI SISTEM PAKAR DALAM MENDIAGNOSA BERAT BADAN LAHIR RENDAH MENGGUNAKAN CASE BASED REASONING (CBR)
Body Weight is one indicator for health of newborns (BBL). The health of newborns is a seriously problem and one indicator for the cause of infant mortality in Indonesia. In this case, we use expert system with case based reasoning (CBR) methods to diagnosis the low birth weight. Our paper aims to knows risks factor which measurement the low birth weight and can develop the hospital system to diagnose the initial symptoms of newborns type. We use age, HB rate, parity distance, number of antenental visits, amount of parity, socio-economy status, mother’s education level, and nutrition status of pregnant while the maternal work history variable is a protection factor.Keywords: Expert System, CBS, low birth weight
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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:481959085
Book学术官方微信