Validation of a Machine Learning Approach for Venous Thromboembolism Risk Prediction in Oncology

<div>Kaplan-Meier curves of venous thromboembolism- (VTE-) free survival of chemotherapy-treated ambulatory cancer patients categorized by the ML-RO VTE predictor in the validation set. Subgroup analysis of patients with cancer histological types with low ((a) breast and colorectal) or intermediate ((b) lung, gynecologic, and urinary) risk of VTE.</div>

Disease Markers

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Figure 4

Figure 4: Validation of a Machine Learning Approach for Venous Thromboembolism Risk Prediction in Oncology 