Metodología de extracción de parámetros cuantitativos de las Guías Terapéuticas utilizando el CIE10


Metodología de extracción de parámetros cuantitativos de las Guías Terapéuticas utilizando el CIE10
Published in:	Innovation in Engineering, Technology and Education for Competitiveness and Prosperity: Proceedings of the 11th Latin American and Caribbean Conference for Engineering and Technology
Date of Conference:	August 14-16, 2013
Location of Conference:	Cancun, Mexico
Authors:	Irene López Rodríguez Blanca Alicia Rico Jiménez Blanca Tovar Corona Laura Ivoone Garay Jiménez
Technical Paper:	#17

Abstract:
In English: Disease biosurveillance (DB) in Latin America is primarily done through national level aggregation of reports from sentinel hospitals in each country. In this study we propose a novel approach to DB based on a method for automatic monitoring of content posted on the popular social network Twitter. We used a list of 25 symptoms for 7 syndrome categories and translated them into colloquial terms in Spanish. We then extracted Twitter messages containing those terms and used Natural Language Processing (NLP) to establish the location for each message. Finally we aggregated results by country and created a health map of the Twitter messages of Healthcare Interest (THI). Our results show that the proposed method can be used as a low-cost tool to support the task of biosurveillance for public health in Latin America.