Deep Learning and Explainable Artificial Intelligence to Predict Patients' Choice of Hospital Levels in Urban and Rural Areas

Lichin Chen, Ji-Tian Sheu, Yu Tsao 0001, Yuh-Jue Chuang. Deep Learning and Explainable Artificial Intelligence to Predict Patients' Choice of Hospital Levels in Urban and Rural Areas. In Paula Otero, Philip Scott, Susan Z. Martin, Elaine Huesing, editors, MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation - Proceedings of the 18th World Congress on Medical and Health Informatics, Virtual Event, 2-4 October 2021. Volume 290 of Studies in Health Technology and Informatics, pages 734-738, IOS Press, 2021. [doi]

@inproceedings{ChenS0C21,
  title = {Deep Learning and Explainable Artificial Intelligence to Predict Patients' Choice of Hospital Levels in Urban and Rural Areas},
  author = {Lichin Chen and Ji-Tian Sheu and Yu Tsao 0001 and Yuh-Jue Chuang},
  year = {2021},
  doi = {10.3233/SHTI220175},
  url = {https://doi.org/10.3233/SHTI220175},
  researchr = {https://researchr.org/publication/ChenS0C21},
  cites = {0},
  citedby = {0},
  pages = {734-738},
  booktitle = {MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation - Proceedings of the 18th World Congress on Medical and Health Informatics, Virtual Event, 2-4 October 2021},
  editor = {Paula Otero and Philip Scott and Susan Z. Martin and Elaine Huesing},
  volume = {290},
  series = {Studies in Health Technology and Informatics},
  publisher = {IOS Press},
  isbn = {978-1-64368-265-5},
}