Cilia E. Zayas
Researcher
University of Arkansas for Medical Sciences
unknown
Research Areas
Links
Is this your profile? Verify and claim your profile
Biography and Research Information
OverviewAI-generated summary
Cilia E. Zayas's research focuses on challenges and advancements in healthcare data management and integration. Her work investigates the complexities of multiple domains contributing to transformed health ecosystems, emphasizing the need for semantic data integration, particularly for surgical biobanks. Zayas has explored methods for enhancing healthcare data, including the incorporation of social determinants of health and automated curation processes. She has also contributed to the development and validation of ontologies, such as an early warning system scores ontology.
Her scholarship includes publications on linguistic and ontological challenges, knowledge representation perspectives for biobanks, and repeatable enhancement of healthcare data. Zayas has a h-index of 3, with 6 total publications and 22 citations. She has collaborated with researchers at the University of Arkansas for Medical Sciences, including Mathias Brochhausen, Kevin W. Sexton, and Justin M. Whorton, as well as Sudeepa Bhattacharyya from Arkansas State University.
Metrics
- h-index: 3
- Publications: 6
- Citations: 22
Selected Publications
- Development and validation of the early warning system scores ontology (2023) DOI
- Linguistic and ontological challenges of multiple domains contributing to transformed health ecosystems (2023) DOI
- Experiences with developing and implementing a c<i>ourageous conversations</i> pilot classroom through synchronous meetings via zoom (2022) DOI
- Repeatable enhancement of healthcare data with social determinants of health (2022) DOI
- Assessing the Need for Semantic Data Integration for Surgical Biobanks—A Knowledge Representation Perspective (2022) DOI
- Automated Enhancement and Curation of Healthcare Data (2022) DOI
Collaborators
Researchers in the database who share publications
Similar Researchers
Based on overlapping research topics