Machine Learning Models to Predict Risk of Maternal Morbidity and Mortality From Electronic Medical Record Data: Scoping Review.

Vasudevan L, Kibria MG, Kucirka LM, Shieh K, Wei M, Masoumi S, Balasubramanian S, Victor A, Conklin JL, Gurcan MN, Stuebe AM, Page D

Open source

DOI
10.2196/68225
Published
2025 Aug 14
Container
Journal of medical Internet research
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.2196/68225,
  title = {Machine Learning Models to Predict Risk of Maternal Morbidity and Mortality From Electronic Medical Record Data: Scoping Review.},
  author = {Vasudevan L and Kibria MG and Kucirka LM and Shieh K and Wei M and Masoumi S and Balasubramanian S and Victor A and Conklin JL and Gurcan MN and Stuebe AM and Page D},
  year = {2025},
  journal = {Journal of medical Internet research},
  doi = {10.2196/68225},
  url = {https://doi.org/10.2196/68225}
}

RIS

TY  - JOUR
TI  - Machine Learning Models to Predict Risk of Maternal Morbidity and Mortality From Electronic Medical Record Data: Scoping Review.
AU  - Vasudevan L
AU  - Kibria MG
AU  - Kucirka LM
AU  - Shieh K
AU  - Wei M
AU  - Masoumi S
AU  - Balasubramanian S
AU  - Victor A
AU  - Conklin JL
AU  - Gurcan MN
AU  - Stuebe AM
AU  - Page D
PY  - 2025
JO  - Journal of medical Internet research
DO  - 10.2196/68225
UR  - https://doi.org/10.2196/68225
ER  - 

APA

L, V., MG, K., LM, K., K, S., M, W., S, M., S, B., A, V., JL, C., MN, G., AM, S., & D, P. (2025). Machine Learning Models to Predict Risk of Maternal Morbidity and Mortality From Electronic Medical Record Data: Scoping Review.. Journal of medical Internet research. https://doi.org/10.2196/68225

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