Maria das Graças da Silva Teixeira

ORCID: 0000-0003-0398-8029
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About
Contact & Profiles
Research Areas
  • Semantic Web and Ontologies
  • Business Process Modeling and Analysis
  • Service-Oriented Architecture and Web Services
  • Data Visualization and Analytics
  • Biomedical Text Mining and Ontologies
  • Maternal Mental Health During Pregnancy and Postpartum
  • Psychoanalysis and Social Critique
  • Geographic Information Systems Studies
  • Digital Mental Health Interventions
  • Mental Health Treatment and Access
  • Sociology and Education Studies
  • Philosophical and Historical Studies
  • Model-Driven Software Engineering Techniques
  • Advanced Software Engineering Methodologies
  • Legal Issues in South Africa
  • Information Science and Libraries
  • Brazilian Legal Issues
  • Artificial Intelligence in Law
  • Maternal and Perinatal Health Interventions
  • Grief, Bereavement, and Mental Health
  • Health disparities and outcomes
  • Education and Digital Technologies
  • COVID-19 and Mental Health
  • Data Quality and Management
  • Prenatal Substance Exposure Effects

Universidade Federal do Espírito Santo
2013-2024

Centro Universitário do Norte
2023

<title>Abstract</title> <bold>Background:</bold> Pregnancy is a period characterized by mystique and societal expectations surrounding women. However, it can also be challenging time for The mental well-being of pregnant woman influenced, in part, her obstetric history the psychosocial context. Detecting stress, anxiety, depression women crucial reducing health problems, particularly issues. <bold>Results:</bold> A project named Digital - <italic>Grávida Digital</italic> Portuguese currently...

10.21203/rs.3.rs-4541012/v1 preprint EN cc-by Research Square (Research Square) 2024-06-25

Major Depressive Disorder and anxiety disorders affect millions globally, contributing significantly to the burden of mental health issues. Early screening is crucial for effective intervention, as timely identification issues can improve treatment outcomes. Artificial intelligence (AI) be valuable improving disorders, enabling early intervention better AI-driven leverage analysis multiple data sources, including facial features in digital images. However, existing methods often rely on...

10.48550/arxiv.2410.05450 preprint EN arXiv (Cornell University) 2024-10-07

O uso da Tecnologia Informação está presente nos mais diversos domínios, inclusive no saúde, ao utilizar várias metodologias e ferramentas computacionais. objetivo deste artigo é apresentar o modelo conceitual baseado em ontologia sobre domínio HIV/aids denominado OntoHI. No processo para desenvolver a OntoHI adotam-se metodologia SABiO de fundamentação UFO, além do conhecimento especialistas área que garante representação realidade. Artefatos aqui apresentados: gráfica, glossário termos,...

10.29397/reciis.v17i3.3725 article PT cc-by-nc Reciis 2023-09-29
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