Minicursos do XXIV Simpósio Brasileiro de Computação Aplicada à Saúde

Autores

Dianne Scherly Varela de Medeiros (ed)
UFF
Eduardo Simões de Albuquerque (ed)
UFG
Carlos Henrique Rorato Souza (ed)
UFG

Palavras-chave:

Interface Cérebro-Computador (BCI), Eletro-Encefalografia (EEG), Simuladores imersivos, Avaliação de tecnologia em saúde digital, Learned index, Harmonização de dados em saúde, OHDSI (Observational Health Data Sciences and Informatics), ETL (Extraction, Transformation and Load), Inteligência Artificial, Transtornos Mentais

Sinopse

O livro de Minicursos do SBCAS 2024 traz os textos dos minicursos selecionados e apresentados nesta edição do evento. O livro está organizado em seis capítulos abordando temas relacionados a simuladores imersivos, aplicações de Interface Cérebro-Computador, harmonização de dados em saúde, avaliação de tecnologia em saúde digital, learned index e ainda inteligência artificial.

O Capítulo 1, intitulado “Uma abordagem prática voltada a aplicações de Interface Cérebro-Computador utilizando sinais de EEG”, discute sobre processamento de sinais de Eletro-Encefalografia (EEG) com foco no desenvolvimento de aplicações de Interface Cérebro-Computador (Brain-Computer Interface, BCI), a partir de um panorama histórico do uso de EEG, dispositivos de BCI de baixo custo, ferramentas computacionais para o processamento dos sinais e bases de dados públicas relacionadas.

O Capítulo 2, intitulado “Simuladores imersivos para ensino em saúde: futuro ou realidade?”, apresenta um estudo sobre a evolução dos simuladores em realidade virtual para saúde, destacando como eles têm sido adaptados para replicar habilidades técnicas e comportamentais em ambientes 3D imersivos.

O Capítulo 3, intitulado “Avaliação de Tecnologia em Saúde Digital: Fundamentos e Aplicações Práticas”, apresenta um estudo sobre a relevância, os fundamentos e as aplicações da avaliação de tecnologia em saúde digital, com um foco particular na avaliação de softwares para a área da saúde. São abordadas as particularidades dos aplicativos na área da saúde, bem como os protocolos e processos específicos para a avaliação de tecnologias digitais na saúde.

O Capítulo 4, intitulado “Learned Index: Perspectivas e Desafios na Gestão de Dados de Saúde”, discute sobre o conceito de Learned Index, que emprega modelos de machine learning para produzir estruturas de índices capazes de superar algoritmos tradicionais, visando conduzir ao desenvolvimento de diversas soluções e aplicações com impacto direto na prática clínica, da vigilância em saúde, gestão e formulação de políticas públicas.

O Capítulo 5, intitulado “Harmonização Global de Dados de Saúde: O Papel dos Vocabulários Padronizados OHDSI”, apresenta perspectivas acerca da estrutura e os conceitos do vocabulário padrão OHDSI (Observational Health Data Sciences and Informatics), bem como as ferramentas que possibilitam os mapeamentos dos vocabulários locais e o uso como parte do processo de ETL (Extraction, Transformation and Load).

O Capítulo 6, intitulado “Applications of Artificial Intelligence to Support the Diagnosis, Treatment, and Prognosis of Mental Disorders”, conclui o livro, trazendo horizontes acerca dos principais desafios e tendências das aplicações de Inteligência Artificial para apoiar o diagnóstico, tratamento, e o prognóstico dos transtornos mentais.

Os seis capítulos deste livro discutem diferentes abordagens acerca de diversos aspectos da Computação Aplicada à Saúde, apresentando metodologias, técnicas e ferramentas que contribuem com o desenvolvimento da área.

Capítulos

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25/06/2024

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