MyDigiTwin: A privacy-preserving framework for personalized cardiovascular risk prediction and scenario exploration
- DOI
- 10.1016/j.compbiomed.2025.111180
- Published
- 2025-11
- Container
- Computers in Biology and Medicine
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.compbiomed.2025.111180,
title = {MyDigiTwin: A privacy-preserving framework for personalized cardiovascular risk prediction and scenario exploration},
author = {Héctor Cadavid and Hyunho Mo and Bauke Arends and Katarzyna Dziopa and Esther E. Bron and Daniel Bos and Sonja Georgievska and Pim van der Harst},
year = {2025},
journal = {Computers in Biology and Medicine},
doi = {10.1016/j.compbiomed.2025.111180},
url = {https://doi.org/10.1016/j.compbiomed.2025.111180}
}RIS
TY - JOUR TI - MyDigiTwin: A privacy-preserving framework for personalized cardiovascular risk prediction and scenario exploration AU - Héctor Cadavid AU - Hyunho Mo AU - Bauke Arends AU - Katarzyna Dziopa AU - Esther E. Bron AU - Daniel Bos AU - Sonja Georgievska AU - Pim van der Harst PY - 2025 JO - Computers in Biology and Medicine DO - 10.1016/j.compbiomed.2025.111180 UR - https://doi.org/10.1016/j.compbiomed.2025.111180 ER -
APA
Cadavid, H., Mo, H., Arends, B., Dziopa, K., Bron, E. E., Bos, D., Georgievska, S., & Harst, P. V. D. (2025). MyDigiTwin: A privacy-preserving framework for personalized cardiovascular risk prediction and scenario exploration. Computers in Biology and Medicine. https://doi.org/10.1016/j.compbiomed.2025.111180
Source records
- crossref · retrieved 2026-09-27T00:42:59.246Z