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Fig. 2 | Biomarker Research

Fig. 2

From: Machine learning-aided risk stratification in Philadelphia chromosome-positive acute lymphoblastic leukemia

Fig. 2

Survival stratification. Survival was stratified by risk groups using four important features (BCR-ABL lineage, PCR value, age and WBC count) identified by the XGBoost model. Low, two or less factors; Int, three factors; High, four factors. a Event-free survival (EFS). b Overall survival (OS). The EFS and OS were 88% (95%CI 60–97%) and 100% in Low, 57% (34–75%) and 71% (47–86%) in Int, and 11% (0.6–38%) and 21% (3–49%) in High at 2 years, and 80% (49–93%) and 100% in Low, 42% (21–62%) and 47% (25–66%) in Int, and 0 and 10% (0.6–37%) in High, respectively at 4 years

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