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Integrating Tuberculosis data in State of Sao Paulo over Semantic Web: a proof of concept

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Author(s):
Pellison, Felipe Carvalho ; Lima, Vinicius Costa ; Chartes Lopes Rijo, Rui Pedro ; Alves, Domingos ; CruzCunha, MM ; Martinho, R ; Rijo, R ; Peres, E ; Domingos, D
Total Authors: 9
Document type: Journal article
Source: PROCEEDINGS OF THE XI LATIN AND AMERICAN ALGORITHMS, GRAPHS AND OPTIMIZATION SYMPOSIUM; v. 164, p. 6-pg., 2019-01-01.
Abstract

Although tuberculosis is a curable disease and, in most cases, with low cost drugs, its mortality still is a global concern. This facts turns our attention to management issues and the difficulties related to retrieving data of interest that are powdered on many applications. This work presents a semantic web approach to achieve functional and semantic interoperability between two applications in State of Salo Paulo that contain tuberculosis data. By combining a theoretical-practical development, the geolocalization tool created is a proof of concept that could help managers to take strategic decisions and develop better health policies by showing the distribution of tuberculosis cases across the state. This work stands out the importance of working in solutions that could improve the quality of data in health field and daily activities of health professionals. (C) 2019 The Authors. Published by Elsevier B.V. (AU)

FAPESP's process: 18/00307-2 - Development of Evidence-Based Health Decision Support Systems
Grantee:Domingos Alves
Support Opportunities: Scholarships abroad - Research