Zong-Shou Li

Interpretable Machine Learning Models Based on Blood Cell-Derived Inflammatory Indices for Identifying Colorectal Neoplasia: A Retrospective Study

Purpose Noninvasive approaches for the risk assessment of colorectal neoplasia remain limited, particularly in terms of interpretability and clinical applicability. This study aimed to develop and validate interpretable machine learning models using blood cell-derived inflammatory indices to identify colorectal adenoma...