Orientador(es)
Resumo(s)
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 São 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.
Descrição
Palavras-chave
Tuberculosis Semantic Web Health Information System Interoperability Data Integration
Contexto Educativo
Citação
Felipe Carvalho Pellison, Vinícius Costa Lima, Rui Pedro Chartes Lopes Rijo, Domingos Alves, Integrating Tuberculosis data in State of São Paulo over Semantic Web: a proof of concept, Procedia Computer Science, Volume 164, 2019, Pages 686-691, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2019.12.236.
Editora
Elsevier BV