CondiS: A conditional survival distribution-based method for censored data imputation overcoming the hurdle in machine learning-based survival analysis

Yizhuo Wang, Christopher R. Flowers, Ziyi Li, Xuelin Huang. CondiS: A conditional survival distribution-based method for censored data imputation overcoming the hurdle in machine learning-based survival analysis. Journal of Biomedical Informatics, 131:104117, 2022. [doi]

@article{WangFLH22,
  title = {CondiS: A conditional survival distribution-based method for censored data imputation overcoming the hurdle in machine learning-based survival analysis},
  author = {Yizhuo Wang and Christopher R. Flowers and Ziyi Li and Xuelin Huang},
  year = {2022},
  doi = {10.1016/j.jbi.2022.104117},
  url = {https://doi.org/10.1016/j.jbi.2022.104117},
  researchr = {https://researchr.org/publication/WangFLH22},
  cites = {0},
  citedby = {0},
  journal = {Journal of Biomedical Informatics},
  volume = {131},
  pages = {104117},
}