Navegando por Autor "Henriques, Jorge"
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Artigo Biomedical signals and machine learning in amyotrophic lateral sclerosis: a systematic review(Biomedical Engineering Online, 2021) Dourado Junior, Mário Emílio Teixeira; Fernandes, Felipe; Barbalho, Ingridy; Barros, Daniele; Valentim, Ricardo; Teixeira, César; Henriques, Jorge; Gil, Paulo; https://orcid.org/0000-0002-9462-2294Introduction: The use of machine learning (ML) techniques in healthcare encompasses an emerging concept that envisages vast contributions to the tackling of rare diseases. In this scenario, amyotrophic lateral sclerosis (ALS) involves complexities that are yet not demystifed. In ALS, the biomedical signals present themselves as potential biomarkers that, when used in tandem with smart algorithms, can be useful to applications within the context of the disease. Methods: This Systematic Literature Review (SLR) consists of searching for and investigating primary studies that use ML techniques and biomedical signals related to ALS. Following the defnition and execution of the SLR protocol, 18 articles met the inclusion, exclusion, and quality assessment criteria, and answered the SLR research questions. Discussions: Based on the results, we identifed three classes of ML applications combined with biomedical signals in the context of ALS: diagnosis (72.22%), communication (22.22%), and survival prediction (5.56%). Conclusions: Distinct algorithmic models and biomedical signals have been reported and present promising approaches, regardless of their classes. In summary, this SLR provides an overview of the primary studies analyzed as well as directions for the construction and evolution of technology-based research within the scope of ALS.Artigo Blockchain in health information systems: a systematic review(International Journal of Environmental Research and Public Health, 2024-11-14) Fonsêca, Aleika Lwiza Alves; Barbalho, Ingridy Marina Pierre; Fernandes, Felipe Ricardo dos Santos; Arrais Júnior, Ernano; Nagem, Danilo Alves Pinto; Cardoso, Pablo Holanda; Veras, Nícolas Vinícius Rodrigues; Farias, Fernando Lucas de Oliveira; Lindquist, Ana Raquel; Santos, João Paulo Queiroz dos; Morais, Antonio Higor Freire de; Henriques, Jorge; Lucena, Marcia Jacyntha Nunes Rodrigues; Valentim, Ricardo Alexsandro de MedeirosAbstract: (1) Background: With the increasing digitalization of healthcare systems, data security and privacy have become crucial issues. In parallel, blockchain technology has gradually proven to be an innovative solution to address this challenge, as its ability to provide an immutable and secure record of transactions offers significant promise for healthcare information management. This systematic review aims to explore the applications of blockchain in health information systems, highlighting its advantages and challenges. (2) Methods: The publications chosen to compose this review were collected from six databases, resulting in the initial identification of 4864 studies. Of these, 73 were selected for in-depth analysis. (3) Results: The main results show that blockchain has been used mainly in electronic health records (63%). Furthermore, it was used in the Internet of Medical Things (8.2%) and for data sharing during the COVID-19 pandemic (6.8%). As advantages, greater security, privacy, and data integrity were identified, while the challenges point to the need for standardization and regulatory issues. (4) Conclusions: Despite the difficulties encountered, blockchain has significant potential to improve healthcare data management. However, more research and continued collaboration between those involved are needed to maximize its benefits