Predicting Hospital Admission for Emergency Department Patients: A Machine Learning Approach

Georgios Feretzakis, Aikaterini Sakagianni, Evangelos Loupelis, Georgios Karlis, Dimitris Kalles, Lazaros Tzelves, Rea Chatzikyriakou, Nikolaos Trakas, Stavroula Petropoulou, Aikaterini Tika, Zoi Rakopoulou, Ilias Dalainas, Vasileios Kaldis. Predicting Hospital Admission for Emergency Department Patients: A Machine Learning Approach. In Mantas John, Arie Hasman, Mowafa Said Househ, Parisis Gallos, Zoulias Emmanouil, Joseph Liaskos, editors, Informatics and Technology in Clinical Care and Public Health, ICIMTH 2021, 19th International Conference on Informatics, Management and Technology in Healthcare, Athens, Greece, 16-17 October 2021. Volume 289 of Studies in Health Technology and Informatics, pages 297-300, IOS Press, 2021. [doi]

@inproceedings{FeretzakisSLKKT21,
  title = {Predicting Hospital Admission for Emergency Department Patients: A Machine Learning Approach},
  author = {Georgios Feretzakis and Aikaterini Sakagianni and Evangelos Loupelis and Georgios Karlis and Dimitris Kalles and Lazaros Tzelves and Rea Chatzikyriakou and Nikolaos Trakas and Stavroula Petropoulou and Aikaterini Tika and Zoi Rakopoulou and Ilias Dalainas and Vasileios Kaldis},
  year = {2021},
  doi = {10.3233/SHTI210918},
  url = {https://doi.org/10.3233/SHTI210918},
  researchr = {https://researchr.org/publication/FeretzakisSLKKT21},
  cites = {0},
  citedby = {0},
  pages = {297-300},
  booktitle = {Informatics and Technology in Clinical Care and Public Health, ICIMTH 2021, 19th International Conference on Informatics, Management and Technology in Healthcare, Athens, Greece, 16-17 October 2021},
  editor = {Mantas John and Arie Hasman and Mowafa Said Househ and Parisis Gallos and Zoulias Emmanouil and Joseph Liaskos},
  volume = {289},
  series = {Studies in Health Technology and Informatics},
  publisher = {IOS Press},
  isbn = {978-1-64368-251-8},
}