Implementation of Forest-Based Predictive and Causal Machine Learning Techniques for Identifying the most Important Predictors of Mortality and Estimating Radiotherapy Treatment Effects in Breast Cancer Patients

HeeJeong Jasmine Lee, Igor Shuryak, Eric Wang, Kang-Yoon Lee. Implementation of Forest-Based Predictive and Causal Machine Learning Techniques for Identifying the most Important Predictors of Mortality and Estimating Radiotherapy Treatment Effects in Breast Cancer Patients. TIIS, 20(1):60-79, January 2026. [doi]

@article{LeeSWL26,
  title = {Implementation of Forest-Based Predictive and Causal Machine Learning Techniques for Identifying the most Important Predictors of Mortality and Estimating Radiotherapy Treatment Effects in Breast Cancer Patients},
  author = {HeeJeong Jasmine Lee and Igor Shuryak and Eric Wang and Kang-Yoon Lee},
  year = {2026},
  month = {January},
  doi = {10.3837/tiis.2026.01.004},
  url = {https://doi.org/10.3837/tiis.2026.01.004},
  researchr = {https://researchr.org/publication/LeeSWL26},
  cites = {0},
  citedby = {0},
  journal = {TIIS},
  volume = {20},
  number = {1},
  pages = {60-79},
}