A hybrid model of deep learning features and clinical features for severe cases predication of COVID-19

Titinunt Kitrungrotsakul, Qingqing Chen 0001, Huitao Wu, Preeyanuch Srichola, Hongjie Hu, Wenchao Zhu, Chao Chen, Fangyi Xu, Yong Zhou, Lanfen Lin, Ruofeng Tong 0001, Jingsong Li, Yen-Wei Chen 0001. A hybrid model of deep learning features and clinical features for severe cases predication of COVID-19. In Khan M. Iftekharuddin, Weijie Chen, editors, Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, CA, USA, February 19-23, 2023. Volume 12465 of SPIE Proceedings, SPIE, 2023. [doi]

@inproceedings{Kitrungrotsakul23-0,
  title = {A hybrid model of deep learning features and clinical features for severe cases predication of COVID-19},
  author = {Titinunt Kitrungrotsakul and Qingqing Chen 0001 and Huitao Wu and Preeyanuch Srichola and Hongjie Hu and Wenchao Zhu and Chao Chen and Fangyi Xu and Yong Zhou and Lanfen Lin and Ruofeng Tong 0001 and Jingsong Li and Yen-Wei Chen 0001},
  year = {2023},
  doi = {10.1117/12.2655213},
  url = {https://doi.org/10.1117/12.2655213},
  researchr = {https://researchr.org/publication/Kitrungrotsakul23-0},
  cites = {0},
  citedby = {0},
  booktitle = {Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, CA, USA, February 19-23, 2023},
  editor = {Khan M. Iftekharuddin and Weijie Chen},
  volume = {12465},
  series = {SPIE Proceedings},
  publisher = {SPIE},
  isbn = {9781510660366},
}