Interpretable Machine Learning for Preliminary Lung Cancer Risk Assessment Based on Clinical Indicators and Lifestyle Factors
Background/Objective: Lung cancer remains a leading cause of cancer-related mortality, and access to low-dose CT screening is limited in resource-constrained settings. This study aimed to develop and evaluate an interpretable machine learning model for preliminary, symptom-based lung cancer risk discrimination using cl...