Development and validation of an interpretable machine learning model for predicting chemotherapy-induced neutropenia in small cell lung cancer: a web-based clinical decision support tool
An interpretable CatBoost model was developed for predicting grade ≥3 CIN in patients with SCLC and the integration of the model with a web-based clinical decision support tool may facilitate individualized risk stratification.