Cardiovascular risk assessment enhanced by automated machine learning in a multi-phase study
- DOI
- 10.1038/s41598-025-24189-z
- Published
- 2025-10-20
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-025-24189-z,
title = {Cardiovascular risk assessment enhanced by automated machine learning in a multi-phase study},
author = {Igor Bibi and Daniel Schaffert and Philipp Blanke and Lorenz Illian and Federico Lenzing and Niklas Martin and Jan Leipe and Winfried März and Ksenija Stach and Victor Olsavszky},
year = {2025},
journal = {Scientific Reports},
doi = {10.1038/s41598-025-24189-z},
url = {https://doi.org/10.1038/s41598-025-24189-z}
}RIS
TY - JOUR TI - Cardiovascular risk assessment enhanced by automated machine learning in a multi-phase study AU - Igor Bibi AU - Daniel Schaffert AU - Philipp Blanke AU - Lorenz Illian AU - Federico Lenzing AU - Niklas Martin AU - Jan Leipe AU - Winfried März AU - Ksenija Stach AU - Victor Olsavszky PY - 2025 JO - Scientific Reports DO - 10.1038/s41598-025-24189-z UR - https://doi.org/10.1038/s41598-025-24189-z ER -
APA
Bibi, I., Schaffert, D., Blanke, P., Illian, L., Lenzing, F., Martin, N., Leipe, J., März, W., Stach, K., & Olsavszky, V. (2025). Cardiovascular risk assessment enhanced by automated machine learning in a multi-phase study. Scientific Reports. https://doi.org/10.1038/s41598-025-24189-z
Source records
- crossref · retrieved 2026-09-26T13:02:00.762Z