InDISP: An Interpretable Model for Dynamic Illness Severity Prediction

Xinyu Ma, Meng Wang, Xing Liu, Yifan Yang, Yefeng Zheng 0001, Sen Wang 0001. InDISP: An Interpretable Model for Dynamic Illness Severity Prediction. In Arnab Bhattacharya 0001, Janice Lee, Mong Li, Divyakant Agrawal, P. Krishna Reddy, Mukesh K. Mohania, Anirban Mondal, Vikram Goyal, Rage Uday Kiran, editors, Database Systems for Advanced Applications - 27th International Conference, DASFAA 2022, Virtual Event, April 11-14, 2022, Proceedings, Part II. Volume 13246 of Lecture Notes in Computer Science, pages 631-638, Springer, 2022. [doi]

@inproceedings{MaWLYZW22,
  title = {InDISP: An Interpretable Model for Dynamic Illness Severity Prediction},
  author = {Xinyu Ma and Meng Wang and Xing Liu and Yifan Yang and Yefeng Zheng 0001 and Sen Wang 0001},
  year = {2022},
  doi = {10.1007/978-3-031-00126-0_46},
  url = {https://doi.org/10.1007/978-3-031-00126-0_46},
  researchr = {https://researchr.org/publication/MaWLYZW22},
  cites = {0},
  citedby = {0},
  pages = {631-638},
  booktitle = {Database Systems for Advanced Applications - 27th International Conference, DASFAA 2022, Virtual Event, April 11-14, 2022, Proceedings, Part II},
  editor = {Arnab Bhattacharya 0001 and Janice Lee and Mong Li and Divyakant Agrawal and P. Krishna Reddy and Mukesh K. Mohania and Anirban Mondal and Vikram Goyal and Rage Uday Kiran},
  volume = {13246},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-00126-0},
}