17 March 2026 : Original article
Development and Validation of a Machine Learning-Based Nomogram for Predicting Severe Pneumocystis jirovecii Pneumonia in Kidney Transplant Recipients
Shuo Wang AE 1,2*, Chuanyou Xia BF 1, Yuchong Zhu BC 1,2, Guanbao Tang D 1, Yunchao Wang C 1, Lingquan Meng F 1, Xiaoming Zhang D 1, Jianning Wang E 1, Jiwei Yang AE 1DOI: 10.12659/AOT.952235
Ann Transplant 2026; 31:e952235
Figure 2 Different machine learning methods for screening variables(A) Boruta method for screening variables; (B) RFE method for screening variables; (C) LASSO coefficient distribution for variable selection; (D) LASSO cross-validation for selecting the optimal lambda; (E) Venn diagram of variable selection by Boruta, RFE and LASSO.