A deep learning method for preterm birth prediction using wavelet representations and auxiliary features from electrohysterogram.
- DOI
- 10.1007/s11517-026-03602-3
- Published
- 2026 Sep 2
- Container
- Medical & biological engineering & computing
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s11517-026-03602-3,
title = {A deep learning method for preterm birth prediction using wavelet representations and auxiliary features from electrohysterogram.},
author = {Wen X and Zhuan S and Gao X and Jiang L and Zhang X},
year = {2026},
journal = {Medical \& biological engineering \& computing},
doi = {10.1007/s11517-026-03602-3},
url = {https://doi.org/10.1007/s11517-026-03602-3}
}RIS
TY - JOUR TI - A deep learning method for preterm birth prediction using wavelet representations and auxiliary features from electrohysterogram. AU - Wen X AU - Zhuan S AU - Gao X AU - Jiang L AU - Zhang X PY - 2026 JO - Medical & biological engineering & computing DO - 10.1007/s11517-026-03602-3 UR - https://doi.org/10.1007/s11517-026-03602-3 ER -
APA
X, W., S, Z., X, G., L, J., & X, Z. (2026). A deep learning method for preterm birth prediction using wavelet representations and auxiliary features from electrohysterogram.. Medical & biological engineering & computing. https://doi.org/10.1007/s11517-026-03602-3
Source records
- pubmed · retrieved 2026-09-25T19:06:07.371Z