A hybrid approach for binary and multi-class classification of voice disorders using a pre-trained model and ensemble classifiers.
- DOI
- 10.1186/s12911-025-02978-w
- Published
- 2025 May 1
- Container
- BMC medical informatics and decision making
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1186/s12911-025-02978-w,
title = {A hybrid approach for binary and multi-class classification of voice disorders using a pre-trained model and ensemble classifiers.},
author = {Rahman MU and Direkoglu C},
year = {2025},
journal = {BMC medical informatics and decision making},
doi = {10.1186/s12911-025-02978-w},
url = {https://doi.org/10.1186/s12911-025-02978-w}
}RIS
TY - JOUR TI - A hybrid approach for binary and multi-class classification of voice disorders using a pre-trained model and ensemble classifiers. AU - Rahman MU AU - Direkoglu C PY - 2025 JO - BMC medical informatics and decision making DO - 10.1186/s12911-025-02978-w UR - https://doi.org/10.1186/s12911-025-02978-w ER -
APA
MU, R., & C, D. (2025). A hybrid approach for binary and multi-class classification of voice disorders using a pre-trained model and ensemble classifiers.. BMC medical informatics and decision making. https://doi.org/10.1186/s12911-025-02978-w