fig6

Figure 6. Overview of machine learning applications in graft survival prediction (2021-2024). (A) Distribution of studies across subcategories (graft survival, GVHD), with graft survival being the primary focus area; (B) Algorithm types used by category (linear, neural networks, tree-based methods), showing strong preference for tree-based methods due to the use of only tabular data; (C) Performance metrics comparison across categories using AUC and C-index, with both categories showing promising results; and (D) Distribution of data types utilized showing only use of tabular data for both graft survival and GVHD predictions. GVHD: Graft-versus-host disease; AUC: area under the curve.