Interpretable Machine Learning-Based Risk Scoring with Individual and Ensemble Model Selection for Clinical Decision Making

Han Yuan, Jin Wee Lee, Mingxuan Liu, Siqi Li, Chenglin Niu, Jun Wen, Feng Xie. Interpretable Machine Learning-Based Risk Scoring with Individual and Ensemble Model Selection for Clinical Decision Making. In Krystal Maughan, Rosanne Liu, Thomas F. Burns, editors, The First Tiny Papers Track at ICLR 2023, Tiny Papers @ ICLR 2023, Kigali, Rwanda, May 5, 2023. OpenReview.net, 2023. [doi]

@inproceedings{YuanLLLNWX23,
  title = {Interpretable Machine Learning-Based Risk Scoring with Individual and Ensemble Model Selection for Clinical Decision Making},
  author = {Han Yuan and Jin Wee Lee and Mingxuan Liu and Siqi Li and Chenglin Niu and Jun Wen and Feng Xie},
  year = {2023},
  url = {https://openreview.net/pdf?id=RNlfw6KXJey},
  researchr = {https://researchr.org/publication/YuanLLLNWX23},
  cites = {0},
  citedby = {0},
  booktitle = {The First Tiny Papers Track at ICLR 2023, Tiny Papers @ ICLR 2023, Kigali, Rwanda, May 5, 2023},
  editor = {Krystal Maughan and Rosanne Liu and Thomas F. Burns},
  publisher = {OpenReview.net},
}