CREST - Risk Prediction for Clostridium Difficile Infection Using Multimodal Data Mining

Cite

Text

Sen et al. "CREST - Risk Prediction for Clostridium Difficile Infection Using Multimodal Data Mining." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2017. doi:10.1007/978-3-319-71273-4_5

Markdown

[Sen et al. "CREST - Risk Prediction for Clostridium Difficile Infection Using Multimodal Data Mining." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2017.](https://mlanthology.org/ecmlpkdd/2017/sen2017ecmlpkdd-crest/) doi:10.1007/978-3-319-71273-4_5

BibTeX

@inproceedings{sen2017ecmlpkdd-crest,
  title     = {{CREST - Risk Prediction for Clostridium Difficile Infection Using Multimodal Data Mining}},
  author    = {Sen, Cansu and Hartvigsen, Thomas and Rundensteiner, Elke A. and Claypool, Kajal T.},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2017},
  pages     = {52-63},
  doi       = {10.1007/978-3-319-71273-4_5},
  url       = {https://mlanthology.org/ecmlpkdd/2017/sen2017ecmlpkdd-crest/}
}