Prediction of successful labor induction in persons with a low Bishop score using machine learning: Secondary analysis of two randomized controlled trials

Rohan D'Souza, Orla Doyle, Hugh Miller, Natasha Pillai, Zuzanna Angehrn, Philip Li, Simona Ispas‐Jouron

Open source

DOI
10.1111/birt.12691
Published
2022-12-21
Container
Birth
Publisher
Wiley
Open access
unknown

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BibTeX

@article{allodium:10.1111/birt.12691,
  title = {Prediction of successful labor induction in persons with a low Bishop score using machine learning: Secondary analysis of two randomized controlled trials},
  author = {Rohan D'Souza and Orla Doyle and Hugh Miller and Natasha Pillai and Zuzanna Angehrn and Philip Li and Simona Ispas‐Jouron},
  year = {2022},
  journal = {Birth},
  doi = {10.1111/birt.12691},
  url = {https://doi.org/10.1111/birt.12691}
}

RIS

TY  - JOUR
TI  - Prediction of successful labor induction in persons with a low Bishop score using machine learning: Secondary analysis of two randomized controlled trials
AU  - Rohan D'Souza
AU  - Orla Doyle
AU  - Hugh Miller
AU  - Natasha Pillai
AU  - Zuzanna Angehrn
AU  - Philip Li
AU  - Simona Ispas‐Jouron
PY  - 2022
JO  - Birth
DO  - 10.1111/birt.12691
UR  - https://doi.org/10.1111/birt.12691
ER  - 

APA

D'Souza, R., Doyle, O., Miller, H., Pillai, N., Angehrn, Z., Li, P., & Ispas‐Jouron, S. (2022). Prediction of successful labor induction in persons with a low Bishop score using machine learning: Secondary analysis of two randomized controlled trials. Birth. https://doi.org/10.1111/birt.12691

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