Model-driven engineering for digital twins: a graph model-based patient simulation application
The proposed patient simulation application could help train future generations of healthcare professionals and could be used to facilitate clinicians' bedside decision-making.
Authors
- Phillip J. Schulte (ORCID: https://orcid.org/0000-0001-6575-4741)
- Xiang Zhong (ORCID: https://orcid.org/0000-0002-6214-5876)
- William Trevena (ORCID: https://orcid.org/0000-0001-7011-6867)
- Edin Cubro
- Lucrezia Rovati (ORCID: https://orcid.org/0000-0003-1222-9825)
- Yue Dong (ORCID: https://orcid.org/0000-0002-1737-6536)
- Amos Lal (ORCID: https://orcid.org/0000-0002-0021-2033)
- Ognjen Gajić
Institutions
- University of Florida (US)
- Mayo Clinic in Arizona (US)
Publication Details
- Journal
- Frontiers in Physiology
- Published
- 2024-08-12
- DOI
- https://doi.org/10.3389/fphys.2024.1424931
- Citations
- 7
- Primary Topic
- Simulation Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 3.43