Principal Component Analysis on the Philippine Health Data

Authors: Marites F. Carillo, Fe F. Largo, Roel F. Ceballos

International Journal of Ecological Economics and Statistics, 39(3), 91-97, 2018

Results of the summarizing process for the arXiv paper: 1902.07905v1

  • Comprehensive Summary
  • Key points
  • Layman's Summary
  • Blog article
The summary is not ready yet

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.

Submitted to arXiv on 21 Feb. 2019

Tools for this paper

Explain it differently 3 free rewrites left today
Export BibTeX · RIS (Zotero, Mendeley, EndNote) · Markdown (Notion, Obsidian) · Premium
Citation alerts Premium
Journal club Slides to present it Premium
For journalists Press kit and hype check Premium

Ask questions about this paper to our AI assistant

You can also chat with multiple papers at once here.

⚠The license of the paper does not allow us to build upon its content and the AI assistant only knows about the paper metadata rather than the full article.

Figures and plots

Ask about a figure by number or use its question button to request visual analysis. Up to two figures and four image panels per question. Values read from plots are approximate; check the original data.

AI assistant instructions?

Assess the quality of the AI-generated content by voting

Score: 0

Why do we need votes?

Votes are used to determine whether we need to re-run our summarizing tools. If the count reaches -10, our tools can be restarted.

The previous summary was created more than a year ago and can be re-run (if necessary) by clicking on the Run button below.

⚠The license of this specific paper does not allow us to build upon its content and the summarizing tools will be run using the paper metadata rather than the full article. However, it still does a good job, and you can also try our tools on papers with more open licenses.

Disclaimer: The AI-based summarization tool and virtual assistant provided on this website may not always provide accurate and complete summaries or responses. We encourage you to carefully review and evaluate the generated content to ensure its quality and relevance to your needs.