Browsing by Author "Lima, Inácia Bezerra de"
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- Proposal of an ontology for Mental Health Management in BrazilPublication . Yamada, Diego Bettiol; Yoshiura, Vinicius Tohoru; Miyoshi, Newton Shydeo Brandão; Lima, Inácia Bezerra de; Shinoda, Gustavo Yukiu Usumoto; Rijo, Rui, Rui Pedro Charters Lopes; Marques, João Mazzoncini de Azevedo; Cruz-Cunha, Maria Manuela; Alves, DomingosMental illness represent a large part of public health problems worldwide. Additionally, mental health managers need to make decisions based on complex data from dispersed sources with low levels of standardization and integration. This generally hinders knowledge extraction and its use as a reference to provide useful indicators and reports for efficient decision making. In this context, the interoperability between Information Systems is an essential characteristic to establish the capacity of communication, exchange and reuse of information for the generation of knowledge. In order to reduce the data complexity and to assist in the data interpretation, Semantic Web technology can be used. It classifies the stored information with metadata and give them meaning and thematic through the use of ontologies. Therefore, given the importance of mental health and the need for quality data, this article aims to specify and develop an ontology capable of consuming, integrating, analyzing and making available data of a regional mental healthcare network.
- Towards a health observatory conceptual model based on the semantic webPublication . Yoshiura, Vinicius Tohoru; Yamada, Diego Bettiol; Pellison, Felipe Carvalho; Lima, Inácia Bezerra de; Damian, Ieda Pelogia Martins; Rijo, Rui, Rui Pedro Charters Lopes; Marques, João Mazzoncini de Azevedo; Alves, DomingosIntroduction. Health Observatories have gained global popularity and have been established worldwide since the 1970s. With the advent of the Semantic Web, machines can process, reuse, integrate and understand the meaning (semantics) of the information and knowledge on the World Wide Web to perform complex tasks. Objective. To propose a health observatory conceptual model based on Semantic Web in order to assist in the design, development and implementation processes of a Health Observatory. Methods. The proposed model was based on a conceptual analysis that include Semantic Web technologies narrative review, multi-layer software architecture and an integrative review of Health Observatories. Results. The proposed Health Observatory conceptual model consists of a chain of several related components based on information technology multi-layer architecture, Semantic Web technologies, Health Observatories stakeholders and key concepts. Conclusion. The proposed model can provide opportunities for the development and implementation of new observatories or for the adequacy of existing Health Observatories.