Construcci\'on de un Mapa de Vulnerabilidad Sanitaria en Argentina a partir de datos p\'ublicos

Abstract

This document is intended to present in detail the processing criteria and the analysis techniques used for the production of the Vulnerability Map Sanitary based on the use of public and open data sources. The paper makes use of statistical analysis techniques (MCA, PCA, etc.) and machine learning (autoencoders) for the processing and analysis of information. The final product is a map at the census track level that seeks to quantify the population's access to basic health benefits.