Integration of PCG spectrogram texture and deep features for the diagnosis of heart failure with preserved ejection fraction using heterogeneous stacking ensemble learning
- DOI
- 10.3389/fphys.2025.1694781
- Published
- 2026-01-15
- Container
- Frontiers in Physiology
- Publisher
- Frontiers Media SA
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3389/fphys.2025.1694781,
title = {Integration of PCG spectrogram texture and deep features for the diagnosis of heart failure with preserved ejection fraction using heterogeneous stacking ensemble learning},
author = {Yineng Zheng and Jian Qin and Fajin Lv and Xia Li and Xingming Guo},
year = {2026},
journal = {Frontiers in Physiology},
doi = {10.3389/fphys.2025.1694781},
url = {https://doi.org/10.3389/fphys.2025.1694781}
}RIS
TY - JOUR TI - Integration of PCG spectrogram texture and deep features for the diagnosis of heart failure with preserved ejection fraction using heterogeneous stacking ensemble learning AU - Yineng Zheng AU - Jian Qin AU - Fajin Lv AU - Xia Li AU - Xingming Guo PY - 2026 JO - Frontiers in Physiology DO - 10.3389/fphys.2025.1694781 UR - https://doi.org/10.3389/fphys.2025.1694781 ER -
APA
Zheng, Y., Qin, J., Lv, F., Li, X., & Guo, X. (2026). Integration of PCG spectrogram texture and deep features for the diagnosis of heart failure with preserved ejection fraction using heterogeneous stacking ensemble learning. Frontiers in Physiology. https://doi.org/10.3389/fphys.2025.1694781
Source records
- crossref · retrieved 2026-09-26T15:47:46.294Z