A filter-predictor polynomial feature based machine learning approach to predicting preterm birth from cervical electrical impedance spectroscopy

David Tian, Zi Qiang Lang, Di Zhang, Dilly O. Anumba. A filter-predictor polynomial feature based machine learning approach to predicting preterm birth from cervical electrical impedance spectroscopy. Biomed. Signal Proc. and Control, 80(Part):104345, 2023. [doi]

@article{TianLZA23,
  title = {A filter-predictor polynomial feature based machine learning approach to predicting preterm birth from cervical electrical impedance spectroscopy},
  author = {David Tian and Zi Qiang Lang and Di Zhang and Dilly O. Anumba},
  year = {2023},
  doi = {10.1016/j.bspc.2022.104345},
  url = {https://doi.org/10.1016/j.bspc.2022.104345},
  researchr = {https://researchr.org/publication/TianLZA23},
  cites = {0},
  citedby = {0},
  journal = {Biomed. Signal Proc. and Control},
  volume = {80},
  number = {Part},
  pages = {104345},
}