Cervical Dilation Classification from Electrohysterography and Clinical Features: A Machine-Learning-Derived Digital Biomarker
- DOI
- 10.1159/000552288
- Published
- 2026-04-30
- Container
- Digital Biomarkers
- Publisher
- S. Karger AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1159/000552288,
title = {Cervical Dilation Classification from Electrohysterography and Clinical Features: A Machine-Learning-Derived Digital Biomarker},
author = {Otniel Portillo-Rodríguez and Jorge Escalante-Gaytán and Oscar Osvaldo Sandoval-González and Paula Romina Soria and Hugo Mendieta-Zerón and Juan Carlos Echeverría and Miguel A. Peña-Castillo and Eric Alonso Abarca-Castro and José Javier Reyes-Lagos},
year = {2026},
journal = {Digital Biomarkers},
doi = {10.1159/000552288},
url = {https://doi.org/10.1159/000552288}
}RIS
TY - JOUR TI - Cervical Dilation Classification from Electrohysterography and Clinical Features: A Machine-Learning-Derived Digital Biomarker AU - Otniel Portillo-Rodríguez AU - Jorge Escalante-Gaytán AU - Oscar Osvaldo Sandoval-González AU - Paula Romina Soria AU - Hugo Mendieta-Zerón AU - Juan Carlos Echeverría AU - Miguel A. Peña-Castillo AU - Eric Alonso Abarca-Castro AU - José Javier Reyes-Lagos PY - 2026 JO - Digital Biomarkers DO - 10.1159/000552288 UR - https://doi.org/10.1159/000552288 ER -
APA
Portillo-Rodríguez, O., Escalante-Gaytán, J., Sandoval-González, O. O., Soria, P. R., Mendieta-Zerón, H., Echeverría, J. C., Peña-Castillo, M. A., Abarca-Castro, E. A., & Reyes-Lagos, J. J. (2026). Cervical Dilation Classification from Electrohysterography and Clinical Features: A Machine-Learning-Derived Digital Biomarker. Digital Biomarkers. https://doi.org/10.1159/000552288
Source records
- crossref · retrieved 2026-09-26T22:03:02.633Z