Extracting Dynamic Information of Temporal Clinical Data to Predict the Outcome in Critically Ill Patients

Jing Xia, Yi Ren, Zhenchuan Zhang, Feng Wang, Yu Tian, Tianshu Zhou, Jingsong Li. Extracting Dynamic Information of Temporal Clinical Data to Predict the Outcome in Critically Ill Patients. In Jen Bichel-Findlay, Paula Otero, Philip Scott, Elaine Huesing, editors, MEDINFO 2023 - The Future Is Accessible - Proceedings of the 19th World Congress on Medical and Health Informatics, Sydney, NSW, Australia, 8-12 July 2023. Volume 310 of Studies in Health Technology and Informatics, pages 830-834, IOS Press, 2023. [doi]

@inproceedings{XiaRZWTZL23,
  title = {Extracting Dynamic Information of Temporal Clinical Data to Predict the Outcome in Critically Ill Patients},
  author = {Jing Xia and Yi Ren and Zhenchuan Zhang and Feng Wang and Yu Tian and Tianshu Zhou and Jingsong Li},
  year = {2023},
  doi = {10.3233/SHTI231081},
  url = {https://doi.org/10.3233/SHTI231081},
  researchr = {https://researchr.org/publication/XiaRZWTZL23},
  cites = {0},
  citedby = {0},
  pages = {830-834},
  booktitle = {MEDINFO 2023 - The Future Is Accessible - Proceedings of the 19th World Congress on Medical and Health Informatics, Sydney, NSW, Australia, 8-12 July 2023},
  editor = {Jen Bichel-Findlay and Paula Otero and Philip Scott and Elaine Huesing},
  volume = {310},
  series = {Studies in Health Technology and Informatics},
  publisher = {IOS Press},
  isbn = {978-1-64368-457-4},
}