Main Cause of Children's Deaths in Indigenous Wayuu Community from Department of La Guajira: A Research Developed through Data Mining Use

Authors: Isaura Esther Solano Núñez, David Suarez

Abstract:

The main purpose of this research is to discover what causes death in children of the Wayuu community, and deeply analyze those results in order to take corrective measures to properly control infant mortality. We consider important to determine the reasons that are producing early death in this specific type of population, since they are the most vulnerable to high risk environmental conditions. In this way, the government, through competent authorities, may develop prevention policies and the right measures to avoid an increase of this tragic fact. The methodology used to develop this investigation is data mining, which consists in gaining and examining large amounts of data to produce new and valuable information. Through this technique it has been possible to determine that the child population is dying mostly from malnutrition. In short, this technique has been very useful to develop this study; it has allowed us to transform large amounts of information into a conclusive and important statement, which has made it easier to take appropriate steps to resolve a particular situation.

Keywords: Malnutrition, datamining, analytical, descriptive, population, wayuu, indigenous.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.3300404

References:

[1] Alvarez, R. (1995). Caracterización general de la zona de sugerencia en la Guajira Colombia. Revista Academia Colombiana Ciencias , 679-694.
[2] Bogotá (provincia). Defensoría del Pueblo. (2014). Crisis Humanitaria en la guajira. Gómez, herrera, Y Cabrera: Autores.
[3] Bogotá (provincia). Departamento administrativo Nacional de estadística. (2005). Censo general de la Guajira. D.A.N.E.: Autor.
[4] Pedraja, R. (1981). La guajira en el Siglo Xix: Indigenas, Contrabando y carbón. Revista desarrollo y Sociedad, 329-358.
[5] Fajardo, G. (1979). Surgencias Costera en las Proximidades de la Peninsula Colombiana de la guajira. Centro colombiano de Datos Oceanográficos, 7-19.
[6] Gnanapriya, R. (2010). Data Mining Concepts and Techniques. Data Mining and Knowledge Engineering, 256-263.
[7] Bayona, G., Ochoa, F., Cardona, A., Jaramillo, C., Y Montes, C. (2007). Procesos Orogénicos del Paleoceno Para la Cuenca de Ranchería (Guajira, Colombia) y Áreas Adyacentes Definidos por Análisis de Procedencia. Revista Geología Colombiana, 21 – 46. 2007.
[8] Hegland, M. (2001). Data Mining Techniques. Acta Numerica, 313-355.
[9] Grouping Multidimensional Data. (2006). Berlin: Springer-Verlag Berlin Heidelberg. Kogan, J.: Author.
[10] Raval, K. M. (2012) Data Mining Techniques. International Journal of Advanced Research in Computer Science and Software Engineering, 439-442.
[11] Kiani, R., Mahdavi, S., Y Keshavarzi, A. (2015). Analysis and Prediction of Crimes by Clustering and Classification. International Journal of Advanced Research in Artificial Intelligence, 11-17.
[12] Venkatesh Sharma, A. M. A. K. (2010). A Novel Approach in Extracting Medical Reports Using Mining Technique. Data mining and Knowledge Engineering, 221-226.
[13] Alghamdi, A. S. A. (2011). Efficient Implementation of FP Growth Algorithm-Data Mining. International Journal of Computer Science and Network Security, 7-16.
[14] Arpita, H. (2013). Comparative Analysis of Data Mining Tools and Techniques for Evaluating. International Journal of Computer Science and Applications, 232-237.
[15] Criales-Hernández, M. I. (2006). Flujos de Biomasa y Estructura de un Ecosistema de Surgencia Tropical en la Guajira, Caribe Colombiano. Revista de Biología Tropical, 1257 - 1282.
[16] Colombian Family Welfare Institute – ICBF Colombia. (2017). recovered from http://www.icbf.gov.co.