Conditional Neural ODE Processes for Individual Disease Progression Forecasting: A Case Study on COVID-19

Ting Dang, Jing Han 0010, Tong Xia, Erika Bondareva, Chloƫ Siegele-Brown, Jagmohan Chauhan, Andreas Grammenos, Dimitris Spathis, Pietro Cicuta, Cecilia Mascolo. Conditional Neural ODE Processes for Individual Disease Progression Forecasting: A Case Study on COVID-19. In Ambuj Singh, Yizhou Sun, Leman Akoglu, Dimitrios Gunopulos, Xifeng Yan, Ravi Kumar 0001, Fatma Ozcan, Jieping Ye, editors, Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023, Long Beach, CA, USA, August 6-10, 2023. pages 3914-3925, ACM, 2023. [doi]

@inproceedings{Dang0XBSCGSCM23,
  title = {Conditional Neural ODE Processes for Individual Disease Progression Forecasting: A Case Study on COVID-19},
  author = {Ting Dang and Jing Han 0010 and Tong Xia and Erika Bondareva and Chloƫ Siegele-Brown and Jagmohan Chauhan and Andreas Grammenos and Dimitris Spathis and Pietro Cicuta and Cecilia Mascolo},
  year = {2023},
  doi = {10.1145/3580305.3599792},
  url = {https://doi.org/10.1145/3580305.3599792},
  researchr = {https://researchr.org/publication/Dang0XBSCGSCM23},
  cites = {0},
  citedby = {0},
  pages = {3914-3925},
  booktitle = {Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023, Long Beach, CA, USA, August 6-10, 2023},
  editor = {Ambuj Singh and Yizhou Sun and Leman Akoglu and Dimitrios Gunopulos and Xifeng Yan and Ravi Kumar 0001 and Fatma Ozcan and Jieping Ye},
  publisher = {ACM},
}