A Machine Learning Approach to the Detection of Fetal Hypoxia during Labor and Delivery

Philip A. Warrick, Emily F. Hamilton, Robert E. Kearney, Doina Precup. A Machine Learning Approach to the Detection of Fetal Hypoxia during Labor and Delivery. In Nestor Rychtyckyj, Daniel G. Shapiro, editors, Proceedings of the Twenty-Second Conference on Innovative Applications of Artificial Intelligence, July 11-15, 2010, Atlanta, Georgia, USA. pages 1865-1870, AAAI, 2010. [doi]

@inproceedings{WarrickHKP10,
  title = {A Machine Learning Approach to the Detection of Fetal Hypoxia during Labor and Delivery},
  author = {Philip A. Warrick and Emily F. Hamilton and Robert E. Kearney and Doina Precup},
  year = {2010},
  url = {http://www.aaai.org/ocs/index.php/IAAI/IAAI10/paper/view/1597},
  tags = {machine learning, systematic-approach},
  researchr = {https://researchr.org/publication/WarrickHKP10},
  cites = {0},
  citedby = {0},
  pages = {1865-1870},
  booktitle = {Proceedings of the Twenty-Second Conference on Innovative Applications of Artificial Intelligence, July 11-15, 2010, Atlanta, Georgia, USA},
  editor = {Nestor Rychtyckyj and Daniel G. Shapiro},
  publisher = {AAAI},
}