Explainable machine learning for chronic lymphocytic leukemia treatment prediction using only inexpensive tests
Computers in Biology and Medicine(2022)
摘要
•Machine Learning methods are effective in predicting CLL treatment.•Gradient Boosting Machines perform best among Machine Learning models.•Using only inexpensive features does not greatly reduce predictive performance.•Our model can be explained using a decision tree surrogate model.
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关键词
CLL,Machine learning,Treatment prediction,XGBoost,SHAP
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