Enhancing stroke disease classification through machine learning models via a novel voting system by feature selection techniques.
- DOI
- 10.1371/journal.pone.0312914
- Published
- 2025
- Container
- PloS one
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pone.0312914,
title = {Enhancing stroke disease classification through machine learning models via a novel voting system by feature selection techniques.},
author = {Hasan M and Yasmin F and Hassan MM and Yu X and Yeasmin S and Joshi H and Islam SMS},
year = {2025},
journal = {PloS one},
doi = {10.1371/journal.pone.0312914},
url = {https://doi.org/10.1371/journal.pone.0312914}
}RIS
TY - JOUR TI - Enhancing stroke disease classification through machine learning models via a novel voting system by feature selection techniques. AU - Hasan M AU - Yasmin F AU - Hassan MM AU - Yu X AU - Yeasmin S AU - Joshi H AU - Islam SMS PY - 2025 JO - PloS one DO - 10.1371/journal.pone.0312914 UR - https://doi.org/10.1371/journal.pone.0312914 ER -
APA
M, H., F, Y., MM, H., X, Y., S, Y., H, J., & SMS, I. (2025). Enhancing stroke disease classification through machine learning models via a novel voting system by feature selection techniques.. PloS one. https://doi.org/10.1371/journal.pone.0312914
Source records
- pubmed · retrieved 2026-09-25T03:27:37.441Z