Comparison of externally validated interpretable machine-learning model with the United States Preventive Services Task Force approach to pre-eclampsia risk assessment.
- DOI
- 10.1002/uog.29264
- Published
- 2025 Jul
- Container
- Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1002/uog.29264,
title = {Comparison of externally validated interpretable machine-learning model with the United States Preventive Services Task Force approach to pre-eclampsia risk assessment.},
author = {Bosschieter TM and Nori H and Painter I and Caruana R and Souter V},
year = {2025},
journal = {Ultrasound in obstetrics \& gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology},
doi = {10.1002/uog.29264},
url = {https://doi.org/10.1002/uog.29264}
}RIS
TY - JOUR TI - Comparison of externally validated interpretable machine-learning model with the United States Preventive Services Task Force approach to pre-eclampsia risk assessment. AU - Bosschieter TM AU - Nori H AU - Painter I AU - Caruana R AU - Souter V PY - 2025 JO - Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology DO - 10.1002/uog.29264 UR - https://doi.org/10.1002/uog.29264 ER -
APA
TM, B., H, N., I, P., R, C., & V, S. (2025). Comparison of externally validated interpretable machine-learning model with the United States Preventive Services Task Force approach to pre-eclampsia risk assessment.. Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology. https://doi.org/10.1002/uog.29264
Source records
- pubmed · retrieved 2026-09-26T02:26:19.390Z