Predicting newborn birth outcomes with prenatal maternal health features and correlates in the United States: A machine learning approach using archival data

Journal article

R. D. Henry
BMC Pregnancy and Childbirth, vol. 24, 2024, p. 603

Cite

APA Click to copy
Henry, R. D. (2024). Predicting newborn birth outcomes with prenatal maternal health features and correlates in the United States: A machine learning approach using archival data. BMC Pregnancy and Childbirth, 24, 603. https://doi.org/10.1186/s12884-024-06812-5

Chicago/Turabian Click to copy
Henry, R. D. “Predicting Newborn Birth Outcomes with Prenatal Maternal Health Features and Correlates in the United States: A Machine Learning Approach Using Archival Data.” BMC Pregnancy and Childbirth 24 (2024): 603.

MLA Click to copy
Henry, R. D. “Predicting Newborn Birth Outcomes with Prenatal Maternal Health Features and Correlates in the United States: A Machine Learning Approach Using Archival Data.” BMC Pregnancy and Childbirth, vol. 24, 2024, p. 603, doi:10.1186/s12884-024-06812-5.

BibTeX Click to copy

@article{henry2024a,
  title = {Predicting newborn birth outcomes with prenatal maternal health features and correlates in the United States: A machine learning approach using archival data},
  year = {2024},
  journal = {BMC Pregnancy and Childbirth},
  pages = {603},
  volume = {24},
  doi = {10.1186/s12884-024-06812-5},
  author = {Henry, R. D.}
}