Within a Heartbeat: A Machine Learning Approach Using VCG for Heart Failure Assessment in Sinus Rhythm.
- DOI
- 10.3390/jpm16090480
- Published
- 2026 Sep 17
- Container
- Journal of personalized medicine
- Publisher
- Not recorded
- Open access
- unknown
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limited evidence Score 43/100 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:10.3390/jpm16090480,
title = {Within a Heartbeat: A Machine Learning Approach Using VCG for Heart Failure Assessment in Sinus Rhythm.},
author = {Karagiannis IM and Samaras A and Filos D and Giannakoulas G and Chouvarda I},
year = {2026},
journal = {Journal of personalized medicine},
doi = {10.3390/jpm16090480},
url = {https://doi.org/10.3390/jpm16090480}
}RIS
TY - JOUR TI - Within a Heartbeat: A Machine Learning Approach Using VCG for Heart Failure Assessment in Sinus Rhythm. AU - Karagiannis IM AU - Samaras A AU - Filos D AU - Giannakoulas G AU - Chouvarda I PY - 2026 JO - Journal of personalized medicine DO - 10.3390/jpm16090480 UR - https://doi.org/10.3390/jpm16090480 ER -
APA
IM, K., A, S., D, F., G, G., & I, C. (2026). Within a Heartbeat: A Machine Learning Approach Using VCG for Heart Failure Assessment in Sinus Rhythm.. Journal of personalized medicine. https://doi.org/10.3390/jpm16090480
Source records
- pubmed · retrieved 2026-09-25T08:02:19.578Z