Principal Component Analysis on the Philippine Health Data.

Marites F. Carillo, F. Largo, Roel F Ceballos
{"title":"Principal Component Analysis on the Philippine Health Data.","authors":"Marites F. Carillo, F. Largo, Roel F Ceballos","doi":"10.2139/ssrn.3339627","DOIUrl":null,"url":null,"abstract":"This study was conducted to determine the structures of a set of n correlated variables and creates a new set of uncorrelated indices which are the underlying components of the Philippine health data.The data utilized in this study was the 2009 Philippine Health Data which was made available by National Statistical Coordination Board(NSCB) in its 2009 publication.The publication contains the health data of 81 provinces of the Philippines consisting of ten system-related determinants which was considered as the variables in this study. From the ten health system-related determinants, it was found out that there are three significant underlying components that could summarize the Philippine health data. The first component was named as importance of safe water supply and emphasis on child heat while the second and third component were named as importance of Barangay Health Stations, government health workers and emphasis on pregnant women's health and emphasis on women's health, respectively. These three components jointly account for a total of 73.01% of the total variance explained by the component.","PeriodicalId":409996,"journal":{"name":"arXiv: Applications","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv: Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3339627","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9

Abstract

This study was conducted to determine the structures of a set of n correlated variables and creates a new set of uncorrelated indices which are the underlying components of the Philippine health data.The data utilized in this study was the 2009 Philippine Health Data which was made available by National Statistical Coordination Board(NSCB) in its 2009 publication.The publication contains the health data of 81 provinces of the Philippines consisting of ten system-related determinants which was considered as the variables in this study. From the ten health system-related determinants, it was found out that there are three significant underlying components that could summarize the Philippine health data. The first component was named as importance of safe water supply and emphasis on child heat while the second and third component were named as importance of Barangay Health Stations, government health workers and emphasis on pregnant women's health and emphasis on women's health, respectively. These three components jointly account for a total of 73.01% of the total variance explained by the component.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
菲律宾卫生数据的主成分分析。
进行这项研究是为了确定一组n个相关变量的结构,并创建一组新的不相关指数,这些指数是菲律宾卫生数据的基本组成部分。本研究使用的数据是由国家统计协调委员会(NSCB)在其2009年出版物中提供的2009年菲律宾卫生数据。该出版物包含菲律宾81个省的健康数据,包括10个与系统相关的决定因素,这些决定因素被视为本研究中的变量。从与卫生系统相关的十个决定因素中,发现有三个重要的基本组成部分可以总结菲律宾的卫生数据。第一个组成部分被命名为安全供水的重要性和对儿童供暖的重视,第二个和第三个组成部分分别被命名为Barangay卫生站、政府卫生工作者的重要性和对孕妇健康的重视和对妇女健康的重视。这三个分量合计占该分量解释的总方差的73.01%。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Weekly Bayesian Modelling Strategy to Predict Deaths by COVID-19: a Model and Case Study for the State of Santa Catarina, Brazil Selecting the Most Effective Nudge: Evidence from a Large-Scale Experiment on Immunization Revealing the Transmission Dynamics of COVID-19: A Bayesian Framework for Rt Estimation Improving living biomass C-stock loss estimates by combining optical satellite, airborne laser scanning, and NFI data Bayesian classification for dating archaeological sites via projectile points.
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1