Preterm preeclampsia prediction using intelligible machine learning. Bosschieter, T., Xu, Z., Lan, H., Lengerich, B., Nori, H., Sitcov, K., Painter, I., Souter, V., & Caruana, R. American Journal of Obstetrics & Gynecology, Elsevier, 2022.
Preterm preeclampsia prediction using intelligible machine learning [link]Paper  bibtex   
@article{bosschieter2022smfm,
  title={Preterm preeclampsia prediction using intelligible machine learning},
  author={Bosschieter, Tomas and Xu, Zifei and Lan, Hui and Lengerich, Benjamin and Nori, Harsha and Sitcov, Kristin and Painter, Ian and Souter, Vivienne and Caruana, Rich},
  journal={American Journal of Obstetrics \& Gynecology},
  informal_venue = {SMFM},
  volume={},
  number={},
  pages={},
  year={2022},
  publisher={Elsevier},
    url_paper={https://www.ajog.org/article/S0002-9378(22)01596-4/abstract},
    keywords={Healthcare, Pregnancy}
}

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