Machine-learning-based cardiovascular mortality prediction using a cumulative PM2.5 exposure metric in high risk groups: a retrospective cohort study
- DOI
- 10.1038/s41598-026-54080-4
- Published
- 2026-05-22
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-54080-4,
title = {Machine-learning-based cardiovascular mortality prediction using a cumulative PM2.5 exposure metric in high risk groups: a retrospective cohort study},
author = {Agata M. Wijata and Gregory Y. H. Lip and Anna Kurasz and Michał Święczkowski and Piotr Jemielita and Paweł Kralisz and Sławomir Dobrzycki and Jakub Nalepa and Łukasz Kuźma},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-54080-4},
url = {https://doi.org/10.1038/s41598-026-54080-4}
}RIS
TY - JOUR TI - Machine-learning-based cardiovascular mortality prediction using a cumulative PM2.5 exposure metric in high risk groups: a retrospective cohort study AU - Agata M. Wijata AU - Gregory Y. H. Lip AU - Anna Kurasz AU - Michał Święczkowski AU - Piotr Jemielita AU - Paweł Kralisz AU - Sławomir Dobrzycki AU - Jakub Nalepa AU - Łukasz Kuźma PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-54080-4 UR - https://doi.org/10.1038/s41598-026-54080-4 ER -
APA
Wijata, A. M., Lip, G. Y. H., Kurasz, A., Święczkowski, M., Jemielita, P., Kralisz, P., Dobrzycki, S., Nalepa, J., & Kuźma, Ł. (2026). Machine-learning-based cardiovascular mortality prediction using a cumulative PM2.5 exposure metric in high risk groups: a retrospective cohort study. Scientific Reports. https://doi.org/10.1038/s41598-026-54080-4
Source records
- crossref · retrieved 2026-09-25T10:12:19.603Z