A Comparative Study for Prediction of Hematopoietic Stem Cell Transplantation-Related Mortality
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-3315-0_49
Reference21 articles.
1. Jahan Ratul I, Habiba Wani U, Muntasir Nishat M, Al-Monsur A, Ar-Rafi AM, Faisal F, Ridwan Kabir M (2022) Survival prediction of children undergoing hematopoietic stem cell transplantation using different machine learning classifiers by performing chi-squared test and hyper-parameter optimization: a retrospective analysis. arXiv e-prints, arXiv-2201
2. Karami K, Akbari M, Moradi MT, Soleymani B, Fallahi H (2021) Survival prognostic factors in patients with acute myeloid leukemia using machine learning techniques. PLoS ONE 16(7):e0254976
3. Pan L, Liu G, Lin F, Zhong S, Xia H, Sun X, Liang H (2017) Machine learning applications for prediction of relapse in childhood acute lymphoblastic leukemia. Sci Rep 7(1):1–9
4. Iwasaki M, Kanda J, Arai Y, Kondo T, Ishikawa T, Ueda Y, Takaori-Kondo A et al Establishment of a predictive model for GVHD-free, relapse-free survival after allogeneic HSCT using ensemble learning. Blood Adv 6(8):2618–2627
5. Goswami C, Poonia S, Kumar L, Sengupta D (2019) Staging system to predict the risk of relapse in multiple myeloma patients undergoing autologous stem cell transplantation. Front Oncol 9:633
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