APA (7th ed.) Citation

Lee, H. J., Shuryak, I., Wang, E., & Lee, K. (2026). 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. KSII Transactions on Internet & Information Systems, 20(1), 60. https://doi.org/10.3837/tiis.2026.01.004

Chicago Style (17th ed.) Citation

Lee, Heejeong Jasmine, Igor Shuryak, Eric Wang, and 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." KSII Transactions on Internet & Information Systems 20, no. 1 (2026): 60. https://doi.org/10.3837/tiis.2026.01.004.

MLA (9th ed.) Citation

Lee, Heejeong Jasmine, et al. "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." KSII Transactions on Internet & Information Systems, vol. 20, no. 1, 2026, p. 60, https://doi.org/10.3837/tiis.2026.01.004.